前情提要：
上期说到DataFrames的快速学习，这期来说说学习的基础原料，就是数据要怎么找。
当然是免费开源的啦：这期我们说说RDatasets
来，还是上期这个地址：https://github.com/scidom/StatsLearningByExample.jl.git
点开 02-02-Example-SalariesForProfessors.ipynb
按照上期的方法我们可以把所有代码都跑一遍（文末会有笔者的运行结果作为参考）。
那么这个RDatasets程序包里有多少开源数据？看程序包的名称我们大概可以得知这个是R的程序包，现在用到的是在Julia上的实现包。
笔者找到了原始的Github地址：https://github.com/vincentarelbundock/Rdatasets：
What is this?
Rdatasets is a collection of 1161 datasets that were originally distributed alongside the statistical software environment R and some of its add-on packages. The goal is to make these data more broadly accessible for teaching and statistical software development.
也就是说这个包里有1161个数据集可以免费使用：
License
...My understanding is that these datasets are free to re-distribute. ...
Julia包的使用大家可以到https://github.com/johnmyleswhite/RDatasets.jl上参考更详细的信息。
具体调用包以及使用包内数据参考文末的代码演示。
以下是在包内具体数据集列表以及具体的CSV数据源和DOC数据字典列表（实际1162个数据集）：
http://vincentarelbundock.github.io/Rdatasets/datasets.html
| Package | Item | Title | Rows | Cols | has_logical | has_binary | has_numeric | has_character | CSV | Doc |
|---|---|---|---|---|---|---|---|---|---|---|
| boot | acme | Monthly Excess Returns | 60 | 3 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| boot | aids | Delay in AIDS Reporting in England and Wales | 570 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | aircondit | Failures of Air-conditioning Equipment | 12 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | aircondit7 | Failures of Air-conditioning Equipment | 24 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | amis | Car Speeding and Warning Signs | 8437 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | aml | Remission Times for Acute Myelogenous Leukaemia | 23 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | beaver | Beaver Body Temperature Data | 100 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | bigcity | Population of U.S. Cities | 49 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | brambles | Spatial Location of Bramble Canes | 823 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | breslow | Smoking Deaths Among Doctors | 10 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | calcium | Calcium Uptake Data | 27 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | cane | Sugar-cane Disease Data | 180 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | capability | Simulated Manufacturing Process Data | 75 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | catsM | Weight Data for Domestic Cats | 97 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | cav | Position of Muscle Caveolae | 138 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | cd4 | CD4 Counts for HIV-Positive Patients | 20 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | cd4.nested | Nested Bootstrap of cd4 data | 999 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | channing | Channing House Data | 462 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | city | Population of U.S. Cities | 10 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | claridge | Genetic Links to Left-handedness | 37 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | cloth | Number of Flaws in Cloth | 32 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | co.transfer | Carbon Monoxide Transfer | 7 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | coal | Dates of Coal Mining Disasters | 191 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | darwin | Darwin's Plant Height Differences | 15 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | dogs | Cardiac Data for Domestic Dogs | 7 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | downs.bc | Incidence of Down's Syndrome in British Columbia | 30 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | ducks | Behavioral and Plumage Characteristics of Hybrid Ducks | 11 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | fir | Counts of Balsam-fir Seedlings | 50 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | frets | Head Dimensions in Brothers | 25 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | grav | Acceleration Due to Gravity | 26 | 2 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | gravity | Acceleration Due to Gravity | 81 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | hirose | Failure Time of PET Film | 44 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | islay | Jura Quartzite Azimuths on Islay | 18 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | manaus | Average Heights of the Rio Negro river at Manaus | 1080 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| boot | melanoma | Survival from Malignant Melanoma | 205 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | motor | Data from a Simulated Motorcycle Accident | 94 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | neuro | Neurophysiological Point Process Data | 469 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | nitrofen | Toxicity of Nitrofen in Aquatic Systems | 50 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | nodal | Nodal Involvement in Prostate Cancer | 53 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | nuclear | Nuclear Power Station Construction Data | 32 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | paulsen | Neurotransmission in Guinea Pig Brains | 346 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | poisons | Animal Survival Times | 48 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | polar | Pole Positions of New Caledonian Laterites | 50 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | remission | Cancer Remission and Cell Activity | 27 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | salinity | Water Salinity and River Discharge | 28 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | survival | Survival of Rats after Radiation Doses | 14 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | tau | Tau Particle Decay Modes | 60 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | tuna | Tuna Sighting Data | 64 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| boot | urine | Urine Analysis Data | 79 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| boot | wool | Australian Relative Wool Prices | 309 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | Adler | Experimenter Expectations | 108 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| carData | AMSsurvey | American Math Society Survey Data | 24 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| carData | Angell | Moral Integration of American Cities | 43 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Anscombe | U. S. State Public-School Expenditures | 51 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Arrests | Arrests for Marijuana Possession | 5226 | 8 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| carData | Baumann | Methods of Teaching Reading Comprehension | 66 | 6 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | BEPS | British Election Panel Study | 1525 | 10 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| carData | Bfox | Canadian Women's Labour-Force Participation | 30 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Blackmore | Exercise Histories of Eating-Disordered and Control Subjects | 945 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Burt | Fraudulent Data on IQs of Twins Raised Apart | 27 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | CanPop | Canadian Population Data | 16 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Chile | Voting Intentions in the 1988 Chilean Plebiscite | 2700 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Chirot | The 1907 Romanian Peasant Rebellion | 32 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Cowles | Cowles and Davis's Data on Volunteering | 1421 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| carData | Davis | Self-Reports of Height and Weight | 200 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| carData | DavisThin | Davis's Data on Drive for Thinness | 191 | 7 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | Depredations | Minnesota Wolf Depredation Data | 434 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Duncan | Duncan's Occupational Prestige Data | 45 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | Ericksen | The 1980 U.S. Census Undercount | 66 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Florida | Florida County Voting | 67 | 11 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | Freedman | Crowding and Crime in U. S. Metropolitan Areas | 110 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Friendly | Format Effects on Recall | 30 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | Ginzberg | Data on Depression | 82 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Greene | Refugee Appeals | 384 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | GSSvocab | Data from the General Social Survey (GSS) from the National Opinion Research Center of the University of Chicago. | 28867 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Guyer | Anonymity and Cooperation | 20 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Hartnagel | Canadian Crime-Rates Time Series | 38 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Highway1 | Highway Accidents | 39 | 12 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | KosteckiDillon | Treatment of Migraine Headaches | 4152 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Leinhardt | Data on Infant-Mortality | 105 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | LoBD | Cancer drug data use to provide an example of the use of the skew power distributions. | 84 | 9 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | Mandel | Contrived Collinear Data | 8 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Migration | Canadian Interprovincial Migration Data | 90 | 8 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | Moore | Status, Authoritarianism, and Conformity | 45 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| carData | MplsDemo | Minneapolis Demographic Data 2015, by Neighborhood | 84 | 8 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| carData | MplsStops | Minneapolis Police Department 2017 Stop Data | 51920 | 14 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Mroz | U.S. Women's Labor-Force Participation | 753 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | OBrienKaiser | O'Brien and Kaiser's Repeated-Measures Data | 16 | 17 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Ornstein | Interlocking Directorates Among Major Canadian Firms | 248 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | Pottery | Chemical Composition of Pottery | 26 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Prestige | Prestige of Canadian Occupations | 102 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Quartet | Four Regression Datasets | 11 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Robey | Fertility and Contraception | 50 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Sahlins | Agricultural Production in Mazulu Village | 20 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Salaries | Salaries for Professors | 397 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| carData | SLID | Survey of Labour and Income Dynamics | 7425 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Soils | Soil Compositions of Physical and Chemical Characteristics | 48 | 14 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | States | Education and Related Statistics for the U.S. States | 51 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | TitanicSurvival | Survival of Passengers on the Titanic | 1309 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Transact | Transaction data | 261 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | UN | National Statistics from the United Nations, Mostly From 2009-2011 | 213 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | USPop | Population of the United States | 22 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| carData | Vocab | Vocabulary and Education | 30351 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | WeightLoss | Weight Loss Data | 34 | 7 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | Wells | Well Switching in Bangladesh | 3020 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Womenlf | Canadian Women's Labour-Force Participation | 263 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| carData | Wong | Post-Coma Recovery of IQ | 331 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| carData | Wool | Wool data | 27 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| carData | WVS | World Values Surveys | 5381 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| cluster | agriculture | European Union Agricultural Workforces | 12 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| cluster | animals | Attributes of Animals | 20 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| cluster | chorSub | Subset of C-horizon of Kola Data | 61 | 10 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| cluster | flower | Flower Characteristics | 18 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| cluster | plantTraits | Plant Species Traits Data | 136 | 31 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| cluster | pluton | Isotopic Composition Plutonium Batches | 45 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| cluster | ruspini | Ruspini Data | 75 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| cluster | votes.repub | Votes for Republican Candidate in Presidential Elections | 50 | 31 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| cluster | xclara | Bivariate Data Set with 3 Clusters | 3000 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| COUNT | affairs | affairs | 601 | 18 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | azcabgptca | azcabgptca | 1959 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | azdrg112 | azdrg112 | 1798 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | azpro | azpro | 3589 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | azprocedure | azprocedure | 3589 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| COUNT | badhealth | badhealth | 1127 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| COUNT | fasttrakg | fasttrakg | 15 | 9 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | fishing | fishing | 147 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| COUNT | lbw | lbw | 189 | 10 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | lbwgrp | lbwgrp | 6 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | loomis | loomis | 410 | 11 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | mdvis | mdvis | 2227 | 13 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| COUNT | medpar | medpar | 1495 | 10 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | nuts | nuts | 52 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| COUNT | rwm | rwm | 27326 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| COUNT | rwm1984 | rwm1984 | 3874 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| COUNT | rwm5yr | rwm5yr | 19609 | 17 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| COUNT | ships | ships | 40 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | smoking | smoking | 6 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | titanic | titanic | 1316 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| COUNT | titanicgrp | titanicgrp | 12 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | ACF1 | Aberrant Crypt Foci in Rat Colons | 22 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | ais | Australian athletes data set | 202 | 13 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | allbacks | Measurements on a Selection of Books | 15 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | anesthetic | Anesthetic Effectiveness | 30 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | ant111b | Averages by block of corn yields, for treatment 111 only | 32 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | antigua | Averages by block of yields for the Antigua Corn data | 288 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | appletaste | Tasting experiment that compared four apple varieties | 60 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | aulatlong | Latitudes and longitudes for ten Australian cities | 10 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | austpop | Population figures for Australian States and Territories | 9 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | biomass | Biomass Data | 153 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | bomregions | Australian and Related Historical Annual Climate Data, by region | 109 | 22 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | bomregions2011 | Australian and Related Historical Annual Climate Data, by region | 112 | 22 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | bomregions2012 | Australian and Related Historical Annual Climate Data, by region | 113 | 22 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | bomsoi | Southern Oscillation Index Data | 106 | 21 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | bomsoi2001 | Southern Oscillation Index Data | 102 | 15 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | bostonc | Boston Housing Data - Corrected | 517 | 1 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| DAAG | carprice | US Car Price Data | 48 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | Cars93.summary | A Summary of the Cars93 Data set | 6 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | cerealsugar | Percentage of Sugar in Breakfast Cereal | 100 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | cfseal | Cape Fur Seal Data | 30 | 11 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | cities | Populations of Major Canadian Cities (1992-96) | 25 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | codling | Dose-mortality data, for fumigation of codling moth with methyl bromide | 99 | 10 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| DAAG | cottonworkers | Occupation and wage profiles of British cotton workers | 14 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | cps1 | Labour Training Evaluation Data | 15992 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | cps2 | Labour Training Evaluation Data | 2369 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | cps3 | Labour Training Evaluation Data | 429 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | cricketer | Lifespans of UK 1st class cricketers born 1840-1960 | 5960 | 8 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| DAAG | cuckoohosts | Comparison of cuckoo eggs with host eggs | 10 | 12 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | cuckoos | Cuckoo Eggs Data | 120 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | dengue | Dengue prevalence, by administrative region | 2000 | 13 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | dewpoint | Dewpoint Data | 72 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | droughts | Periods Between Rain Events | 2042 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | edcCO2 | EPICA Dome C Ice Core 800KYr Carbon Dioxide Data | 1096 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | edcT | EPICA Dome C Ice Core 800KYr Temperature Estimates | 5788 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | elastic1 | Elastic Band Data Replicated | 7 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | elastic2 | Elastic Band Data Replicated Again | 9 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | elasticband | Elastic Band Data | 7 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | fossilfuel | Fossil Fuel Data | 5 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | fossum | Female Possum Measurements | 43 | 14 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | frogs | Frogs Data | 212 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | frostedflakes | Frosted Flakes data | 100 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | fruitohms | Electrical Resistance of Kiwi Fruit | 128 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | gaba | Effect of pentazocine on post-operative pain (average VAS scores) | 9 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | geophones | Seismic Timing Data | 56 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | greatLakes | Yearly averages of Great Lake heights: 1918 - 2009 | 92 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | grog | Alcohol consumption in Australia and New Zealand | 18 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | head.injury | Minor Head Injury (Simulated) Data | 3121 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | headInjury | Minor Head Injury (Simulated) Data | 3121 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | hills | Scottish Hill Races Data | 35 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | hills2000 | Scottish Hill Races Data - 2000 | 56 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | hotspots | Hawaian island chain hotspot Potassium-Argon ages | 35 | 6 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| DAAG | hotspots2006 | Hawaian island chain hotspot Argon-Argon ages | 10 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | houseprices | Aranda House Prices | 15 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | humanpower1 | Oxygen uptake versus mechanical power, for humans | 28 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | humanpower2 | Oxygen uptake versus mechanical power, for humans | 26 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | hurricNamed | Named US Atlantic Hurricanes | 94 | 12 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| DAAG | intersalt | Blood pressure versus Salt; inter-population data | 52 | 4 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| DAAG | ironslag | Iron Content Measurements | 53 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | jobs | Canadian Labour Force Summary Data (1995-96) | 24 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | kiwishade | Kiwi Shading Data | 48 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | leafshape | Full Leaf Shape Data Set | 286 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | leafshape17 | Subset of Leaf Shape Data Set | 61 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | leaftemp | Leaf and Air Temperature Data | 62 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | leaftemp.all | Full Leaf and Air Temperature Data Set | 62 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | litters | Mouse Litters | 20 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | Lottario | Ontario Lottery Data | 39 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | lung | Cape Fur Seal Lung Measurements | 30 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | Manitoba.lakes | The Nine Largest Lakes in Manitoba | 9 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | measles | Deaths in London from measles | 311 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| DAAG | medExpenses | Family Medical Expenses | 33 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | mifem | Mortality Outcomes for Females Suffering Myocardial Infarction | 1295 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | mignonette | Darwin's Wild Mignonette Data | 24 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | milk | Milk Sweetness Study | 17 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | modelcars | Model Car Data | 12 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | monica | WHO Monica Data | 6367 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | moths | Moths Data | 41 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | nassCDS | Airbag and other influences on accident fatalities | 26217 | 15 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| DAAG | nasshead | Documentation of names of columns in nass9702cor | 56 | 3 | FALSE | FALSE | FALSE | TRUE | CSV | DOC |
| DAAG | nihills | Record times for Northern Ireland mountain running events | 23 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | nsw74demo | Labour Training Evaluation Data | 445 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | nsw74psid1 | Labour Training Evaluation Data | 2675 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | nsw74psid3 | Labour Training Evaluation Data | 313 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | nsw74psidA | A Subset of the nsw74psid1 Data Set | 252 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | nswdemo | Labour Training Evaluation Data | 722 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | nswpsid1 | Labour Training Evaluation Data | 2787 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | oddbooks | Measurements on 12 books | 12 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | orings | Challenger O-rings Data | 23 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | ozone | Ozone Data | 45 | 11 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | pair65 | Heated Elastic Bands | 9 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | possum | Possum Measurements | 104 | 14 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | possumsites | Possum Sites | 7 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | poxetc | Deaths from various causes, in London from 1629 till 1881, with gaps | 253 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | primates | Primate Body and Brain Weights | 5 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | progression | Progression of Record times for track races, 1912 - 2008 | 227 | 4 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| DAAG | psid1 | Labour Training Evaluation Data | 2490 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | psid2 | Labour Training Evaluation Data | 253 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | psid3 | Labour Training Evaluation Data | 128 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | races2000 | Scottish Hill Races Data - 2000 | 77 | 5 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| DAAG | rainforest | Rainforest Data | 65 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | rareplants | Rare and Endangered Plant Species | 4 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | rice | Genetically Modified and Wild Type Rice Data | 72 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | rockArt | Pacific Rock Art features | 103 | 641 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| DAAG | roller | Lawn Roller Data | 10 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | science | School Science Survey Data | 1385 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | seedrates | Barley Seeding Rate Data | 5 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | socsupport | Social Support Data | 95 | 20 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | softbacks | Measurements on a Selection of Paperback Books | 8 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | sorption | sorption data set | 192 | 14 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | SP500close | Closing Numbers for S and P 500 Index | 2780 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | SP500W90 | Closing Numbers for S and P 500 Index - First 100 Days of 1990 | 100 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | spam7 | Spam E-mail Data | 4601 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | stVincent | Averages by block of yields for the St. Vincent Corn data | 324 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | sugar | Sugar Data | 12 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | tinting | Car Window Tinting Experiment Data | 182 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| DAAG | tomato | Root weights of tomato plants exposed to 4 different treatments | 24 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | toycars | Toy Cars Data | 27 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | vince111b | Averages by block of corn yields, for treatment 111 only | 36 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | vlt | Video Lottery Terminal Data | 345 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| DAAG | wages1833 | Wages of Lancashire Cotton Factory Workers in 1833 | 51 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | whoops | Deaths from whooping cough, in London | 142 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| DAAG | worldRecords | Record times for track and road races, at August 9th 2006 | 40 | 5 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| datasets | ability.cov | Ability and Intelligence Tests | 6 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | airmiles | Passenger Miles on Commercial US Airlines, 1937-1960 | 24 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | AirPassengers | Monthly Airline Passenger Numbers 1949-1960 | 144 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | airquality | New York Air Quality Measurements | 153 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | anscombe | Anscombe's Quartet of 'Identical' Simple Linear Regressions | 11 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | attenu | The Joyner-Boore Attenuation Data | 182 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | attitude | The Chatterjee-Price Attitude Data | 30 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | austres | Quarterly Time Series of the Number of Australian Residents | 89 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | BJsales | Sales Data with Leading Indicator | 150 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | BOD | Biochemical Oxygen Demand | 6 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | cars | Speed and Stopping Distances of Cars | 50 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | ChickWeight | Weight versus age of chicks on different diets | 578 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | chickwts | Chicken Weights by Feed Type | 71 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | co2 | Mauna Loa Atmospheric CO2 Concentration | 468 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | CO2 | Carbon Dioxide Uptake in Grass Plants | 84 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | crimtab | Student's 3000 Criminals Data | 924 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | discoveries | Yearly Numbers of Important Discoveries | 100 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | DNase | Elisa assay of DNase | 176 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | esoph | Smoking, Alcohol and (O)esophageal Cancer | 88 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | euro | Conversion Rates of Euro Currencies | 11 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | EuStockMarkets | Daily Closing Prices of Major European Stock Indices, 1991-1998 | 1860 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | faithful | Old Faithful Geyser Data | 272 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | Formaldehyde | Determination of Formaldehyde | 6 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | freeny | Freeny's Revenue Data | 39 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | HairEyeColor | Hair and Eye Color of Statistics Students | 32 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | Harman23.cor | Harman Example 2.3 | 8 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | Harman74.cor | Harman Example 7.4 | 24 | 26 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | Indometh | Pharmacokinetics of Indomethacin | 66 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | infert | Infertility after Spontaneous and Induced Abortion | 248 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | InsectSprays | Effectiveness of Insect Sprays | 72 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | iris | Edgar Anderson's Iris Data | 150 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | iris3 | Edgar Anderson's Iris Data | 50 | 12 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | islands | Areas of the World's Major Landmasses | 48 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | JohnsonJohnson | Quarterly Earnings per Johnson & Johnson Share | 84 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | LakeHuron | Level of Lake Huron 1875-1972 | 98 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | lh | Luteinizing Hormone in Blood Samples | 48 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | LifeCycleSavings | Intercountry Life-Cycle Savings Data | 50 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | Loblolly | Growth of Loblolly pine trees | 84 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | longley | Longley's Economic Regression Data | 16 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | lynx | Annual Canadian Lynx trappings 1821-1934 | 114 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | morley | Michelson Speed of Light Data | 100 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | mtcars | Motor Trend Car Road Tests | 32 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | nhtemp | Average Yearly Temperatures in New Haven | 60 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | Nile | Flow of the River Nile | 100 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | nottem | Average Monthly Temperatures at Nottingham, 1920-1939 | 240 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | npk | Classical N, P, K Factorial Experiment | 24 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | occupationalStatus | Occupational Status of Fathers and their Sons | 64 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | Orange | Growth of Orange Trees | 35 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | OrchardSprays | Potency of Orchard Sprays | 64 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | PlantGrowth | Results from an Experiment on Plant Growth | 30 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | precip | Annual Precipitation in US Cities | 70 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | presidents | Quarterly Approval Ratings of US Presidents | 120 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | pressure | Vapor Pressure of Mercury as a Function of Temperature | 19 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | Puromycin | Reaction Velocity of an Enzymatic Reaction | 23 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | quakes | Locations of Earthquakes off Fiji | 1000 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | randu | Random Numbers from Congruential Generator RANDU | 400 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | rivers | Lengths of Major North American Rivers | 141 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | rock | Measurements on Petroleum Rock Samples | 48 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | Seatbelts | Road Casualties in Great Britain 1969-84 | 192 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | sleep | Student's Sleep Data | 20 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | stackloss | Brownlee's Stack Loss Plant Data | 21 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | sunspot.month | Monthly Sunspot Data, from 1749 to "Present" | 3177 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | sunspot.year | Yearly Sunspot Data, 1700-1988 | 289 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | sunspots | Monthly Sunspot Numbers, 1749-1983 | 2820 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | swiss | Swiss Fertility and Socioeconomic Indicators (1888) Data | 47 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | Theoph | Pharmacokinetics of Theophylline | 132 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | Titanic | Survival of passengers on the Titanic | 32 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | ToothGrowth | The Effect of Vitamin C on Tooth Growth in Guinea Pigs | 60 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | treering | Yearly Treering Data, -6000-1979 | 7980 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | trees | Girth, Height and Volume for Black Cherry Trees | 31 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | UCBAdmissions | Student Admissions at UC Berkeley | 24 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | UKDriverDeaths | Road Casualties in Great Britain 1969-84 | 192 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | UKgas | UK Quarterly Gas Consumption | 108 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | USAccDeaths | Accidental Deaths in the US 1973-1978 | 72 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | USArrests | Violent Crime Rates by US State | 50 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | USJudgeRatings | Lawyers' Ratings of State Judges in the US Superior Court | 43 | 12 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | USPersonalExpenditure | Personal Expenditure Data | 5 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | uspop | Populations Recorded by the US Census | 19 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| datasets | VADeaths | Death Rates in Virginia (1940) | 5 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | volcano | Topographic Information on Auckland's Maunga Whau Volcano | 87 | 61 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | warpbreaks | The Number of Breaks in Yarn during Weaving | 54 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| datasets | women | Average Heights and Weights for American Women | 15 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | WorldPhones | The World's Telephones | 7 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| datasets | WWWusage | Internet Usage per Minute | 100 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Ecdat | Accident | Ship Accidents | 40 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Ecdat | Airline | Cost for U.S. Airlines | 90 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Airq | Air Quality for Californian Metropolitan Areas | 30 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | bankingCrises | Countries in Banking Crises | 211 | 71 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Benefits | Unemployment of Blue Collar Workers | 4877 | 18 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Bids | Bids Received By U.S. Firms | 126 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | breaches | Cyber Security Breaches | 1055 | 13 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| Ecdat | BudgetFood | Budget Share of Food for Spanish Households | 23972 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | BudgetItaly | Budget Shares for Italian Households | 1729 | 11 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | BudgetUK | Budget Shares of British Households | 1519 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Bwages | Wages in Belgium | 1472 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Capm | Stock Market Data | 516 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Car | Stated Preferences for Car Choice | 4654 | 70 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Caschool | The California Test Score Data Set | 420 | 17 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Catsup | Choice of Brand for Catsup | 2798 | 14 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Cigar | Cigarette Consumption | 1380 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Cigarette | The Cigarette Consumption Panel Data Set | 528 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Clothing | Sales Data of Men's Fashion Stores | 400 | 13 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Computers | Prices of Personal Computers | 6259 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Consumption | Quarterly Data on Consumption and Expenditure | 200 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | CPSch3 | Earnings from the Current Population Survey | 11130 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Cracker | Choice of Brand for Crakers | 3292 | 14 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | CRANpackages | Growth of CRAN | 29 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Ecdat | Crime | Crime in North Carolina | 630 | 24 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | CRSPday | Daily Returns from the CRSP Database | 2528 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | CRSPmon | Monthly Returns from the CRSP Database | 360 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Diamond | Pricing the C's of Diamond Stones | 308 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | DM | DM Dollar Exchange Rate | 778 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Doctor | Number of Doctor Visits | 485 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | DoctorAUS | Doctor Visits in Australia | 5190 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | DoctorContacts | Contacts With Medical Doctor | 20186 | 15 | TRUE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Earnings | Earnings for Three Age Groups | 4266 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Electricity | Cost Function for Electricity Producers | 158 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Fair | Extramarital Affairs Data | 601 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Fatality | Drunk Driving Laws and Traffic Deaths | 336 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Fishing | Choice of Fishing Mode | 1182 | 12 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Forward | Exchange Rates of US Dollar Against Other Currencies | 276 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | FriendFoe | Data from the Television Game Show Friend Or Foe ? | 227 | 13 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Garch | Daily Observations on Exchange Rates of the US Dollar Against Other Currencies | 1867 | 8 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| Ecdat | Gasoline | Gasoline Consumption | 342 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Griliches | Wage Datas | 758 | 20 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Grunfeld | Grunfeld Investment Data | 200 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | HC | Heating and Cooling System Choice in Newly Built Houses in California | 250 | 18 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Hdma | The Boston HMDA Data Set | 2381 | 13 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Heating | Heating System Choice in California Houses | 900 | 21 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Hedonic | Hedonic Prices of Census Tracts in Boston | 506 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | HHSCyberSecurityBreaches | Cybersecurity breaches reported to the US Department of Health and Human Services | 1151 | 9 | TRUE | TRUE | FALSE | TRUE | CSV | DOC |
| Ecdat | HI | Health Insurance and Hours Worked By Wives | 22272 | 13 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Hmda | The Boston HMDA Data Set | 2381 | 13 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Housing | Sales Prices of Houses in the City of Windsor | 546 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Hstarts | Housing Starts | 168 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Icecream | Ice Cream Consumption | 30 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | incidents.byCountryYr | Global Terrorism Database yearly summaries | 9270 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Ecdat | incomeInequality | Income Inequality in the US | 66 | 22 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | IncomeUK | Seasonally Unadjusted Quarterly Data on Disposable Income and Expenditure | 58 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Irates | Monthly Interest Rates | 531 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Journals | Economic Journals Dat Set | 180 | 10 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Ecdat | Kakadu | Willingness to Pay for the Preservation of the Kakadu National Park | 1827 | 22 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Ketchup | Choice of Brand for Ketchup | 4956 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Klein | Klein's Model I | 22 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | LaborSupply | Wages and Hours Worked | 5320 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Labour | Belgian Firms | 569 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Longley | The Longley Data | 16 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | LT | Dollar Sterling Exchange Rate | 200 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Macrodat | Macroeconomic Time Series for the United States | 168 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Males | Wages and Education of Young Males | 4360 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | ManufCost | Manufacturing Costs | 25 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Mathlevel | Level of Calculus Attained for Students Taking Advanced Micro-economics | 609 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | MCAS | The Massachusetts Test Score Data Set | 220 | 17 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | MedExp | Structure of Demand for Medical Care | 5574 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Metal | Production for SIC 33 | 27 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Mishkin | Inflation and Interest Rates | 491 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Mode | Mode Choice | 453 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | ModeChoice | Data to Study Travel Mode Choice | 840 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Ecdat | Mofa | International Expansion of U.S. Mofa's (majority-owned Foreign Affiliates in Fire (finance, Insurance and Real Estate) | 50 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Money | Money, GDP and Interest Rate in Canada | 128 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | MoneyUS | Macroeconomic Series for the United States | 164 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Mpyr | Money, National Product and Interest Rate | 90 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Mroz | Labor Supply Data | 753 | 18 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | MunExp | Municipal Expenditure Data | 2385 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | MW | Growth of Disposable Income and Treasury Bill Rate | 50 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | NaturalPark | Willingness to Pay for the Preservation of the Alentejo Natural Park | 312 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Ecdat | Nerlove | Cost Function for Electricity Producers, 1955 | 159 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | nkill.byCountryYr | Global Terrorism Database yearly summaries | 206 | 45 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | nonEnglishNames | Names with Character Set Problems | 11 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Ecdat | OFP | Visits to Physician Office | 4406 | 19 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Oil | Oil Investment | 53 | 11 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Orange | The Orange Juice Data Set | 642 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Participation | Labor Force Participation | 872 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | PatentsHGH | Dynamic Relation Between Patents and R&D | 1730 | 18 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | PatentsRD | Patents, R&D and Technological Spillovers for a Panel of Firms | 1629 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | PE | Price and Earnings Index | 132 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | politicalKnowledge | Political knowledge in the US and Europe | 4 | 12 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| Ecdat | Pound | Pound-dollar Exchange Rate | 778 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | PPP | Exchange Rates and Price Indices for France and Italy | 186 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Pricing | Returns of Size-based Portfolios | 418 | 12 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Produc | Us States Production | 816 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | PSID | Panel Survey of Income Dynamics | 4856 | 8 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Ecdat | RetSchool | Return to Schooling | 5225 | 17 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Schooling | Wages and Schooling | 3010 | 28 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Solow | Solow's Technological Change Data | 41 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Somerville | Visits to Lake Somerville | 659 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | SP500 | Returns on Standard & Poor's 500 Index | 2783 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Star | Effects on Learning of Small Class Sizes | 5748 | 8 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Ecdat | Strike | Strike Duration Data | 62 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | StrikeDur | Strikes Duration | 566 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | StrikeNb | Number of Strikes in Us Manufacturing | 108 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | SumHes | The Penn Table | 3250 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Tbrate | Interest Rate, GDP and Inflation | 188 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | terrorism | Global Terrorism Database yearly summaries | 46 | 25 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| Ecdat | Tobacco | Households Tobacco Budget Share | 2724 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Train | Stated Preferences for Train Traveling | 2929 | 11 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Ecdat | TranspEq | Statewide Data on Transportation Equipment Manufacturing | 25 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Treatment | Evaluating Treatment Effect of Training on Earnings | 2675 | 10 | TRUE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Tuna | Choice of Brand for Tuna | 13705 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | UnempDur | Unemployment Duration | 3343 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Unemployment | Unemployment Duration | 452 | 12 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Ecdat | University | Provision of University Teaching and Research | 62 | 17 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | USclassifiedDocuments | Official Secrecy of the United States Government | 29 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | USFinanceIndustry | US Finance Industry Profits | 84 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | USGDPpresidents | US GDP per capita with presidents and wars | 259 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | USstateAbbreviations | Standard abbreviations for states of the United States | 76 | 10 | FALSE | FALSE | FALSE | TRUE | CSV | DOC |
| Ecdat | UStaxWords | Number of Words in US Tax Law | 7 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | VietNamH | Medical Expenses in Viet-nam (household Level) | 5999 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | VietNamI | Medical Expenses in Viet-nam (individual Level) | 27765 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Wages | Panel Datas of Individual Wages | 4165 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Wages1 | Wages, Experience and Schooling | 3294 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Ecdat | Workinghours | Wife Working Hours | 3382 | 12 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Ecdat | Yen | Yen-dollar Exchange Rate | 778 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Ecdat | Yogurt | Choice of Brand for Yogurts | 2412 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| evir | bmw | Daily Log Returns on BMW Share Price | 6146 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| evir | danish | Danish Fire Insurance Claims | 2167 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| evir | nidd.annual | The River Nidd Data | 35 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| evir | nidd.thresh | The River Nidd Data | 154 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| evir | siemens | Daily Log Returns on Siemens Share Price | 6146 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| evir | sp.raw | SP Data to June 1993 | 8415 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| evir | spto87 | SP Return Data to October 1987 | 6985 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| gamclass | airAccs | Aircraft Crash data | 5666 | 7 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| gamclass | cvalues | Historical speed of light measurements | 9 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| gamclass | FARS | US fatal road accident data for automobiles, 1998 to 2010 | 151158 | 17 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| gamclass | fars2007 | US fatal road accident data, 2007 and 2008 | 72548 | 24 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| gamclass | fars2008 | US fatal road accident data, 2007 and 2008 | 64881 | 24 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| gamclass | FARSmiss | Summary information on records omitted from the 'FARS' dataset | 51 | 91 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| gamclass | german | German credit scoring data | 1000 | 21 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| gamclass | loti | Global temperature anomalies | 131 | 19 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| gap | aldh2 | ALDH2 markers and Alcoholism | 263 | 18 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| gap | apoeapoc | APOE/APOC1 markers and Alzheimer's | 353 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| gap | cf | Cystic fibrosis data | 186 | 24 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| gap | crohn | Crohn's disease data | 387 | 212 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| gap | fa | Friedreich Ataxia data | 127 | 13 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| gap | fsnps | A case-control data involving four SNPs with missing genotype | 432 | 10 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| gap | hla | The HLA data | 271 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| gap | l51 | An example pedigree data | 51 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| gap | lukas | An example pedigree | 85 | 4 | FALSE | TRUE | FALSE | TRUE | CSV | DOC |
| gap | mao | A study of Parkinson's disease and MAO gene | 340 | 19 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| gap | meyer | A pedigree data on 282 animals deriving from two generations | 306 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| gap | mfblong | Example data for ACEnucfam | 3000 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| gap | nep499 | A study of Alzheimer's disease with eight SNPs and APOE | 499 | 23 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| gap | PD | A study of Parkinson's disease and APOE, LRRK2, SNCA makers | 825 | 22 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| geepack | dietox | Growth curves of pigs in a 3x3 factorial experiment | 861 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| geepack | koch | Ordinal Data from Koch | 288 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| geepack | ohio | Ohio Children Wheeze Status | 2148 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| geepack | respdis | Clustered Ordinal Respiratory Disorder | 111 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| geepack | respiratory | Data from a clinical trial comparing two treatments for a respiratory illness | 444 | 8 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| geepack | seizure | Epiliptic Seizures | 59 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| geepack | sitka89 | Growth of Sitka Spruce Trees | 632 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| geepack | spruce | Log-size of 79 Sitka spruce trees | 1027 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ggplot2 | diamonds | Prices of 50,000 round cut diamonds | 53940 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| ggplot2 | economics | US economic time series | 574 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| ggplot2 | economics_long | US economic time series | 2870 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| ggplot2 | faithfuld | 2d density estimate of Old Faithful data | 5625 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| ggplot2 | luv_colours | 'colors()' in Luv space | 657 | 4 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| ggplot2 | midwest | Midwest demographics | 437 | 28 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| ggplot2 | mpg | Fuel economy data from 1999 and 2008 for 38 popular models of car | 234 | 11 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| ggplot2 | msleep | An updated and expanded version of the mammals sleep dataset | 83 | 11 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| ggplot2 | presidential | Terms of 11 presidents from Eisenhower to Obama | 11 | 4 | FALSE | TRUE | FALSE | TRUE | CSV | DOC |
| ggplot2 | seals | Vector field of seal movements | 1155 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| ggplot2 | txhousing | Housing sales in TX | 8602 | 9 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| HistData | Arbuthnot | Arbuthnot's data on male and female birth ratios in London from 1629-1710. | 82 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Armada | La Felicisima Armada | 10 | 11 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | Bowley | Bowley's data on values of British and Irish trade, 1855-1899 | 45 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Cavendish | Cavendish's Determinations of the Density of the Earth | 29 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | ChestSizes | Chest measurements of 5738 Scottish Militiamen | 16 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | Cholera | William Farr's Data on Cholera in London, 1849 | 38 | 15 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| HistData | CushnyPeebles | Cushny-Peebles Data: Soporific Effects of Scopolamine Derivatives | 11 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | CushnyPeeblesN | Cushny-Peebles Data: Soporific Effects of Scopolamine Derivatives | 11 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | Dactyl | Edgeworth's counts of dactyls in Virgil's Aeneid | 60 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | DrinksWages | Elderton and Pearson's (1910) data on drinking and wages | 70 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Fingerprints | Waite's data on Patterns in Fingerprints | 36 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | Galton | Galton's data on the heights of parents and their children | 928 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | GaltonFamilies | Galton's data on the heights of parents and their children, by child | 934 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HistData | Guerry | Data from A.-M. Guerry, "Essay on the Moral Statistics of France" | 86 | 23 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | HalleyLifeTable | Halley's Life Table | 84 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Jevons | W. Stanley Jevons' data on numerical discrimination | 50 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Langren.all | van Langren's Data on Longitude Distance between Toledo and Rome | 61 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HistData | Langren1644 | van Langren's Data on Longitude Distance between Toledo and Rome | 12 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HistData | Macdonell | Macdonell's Data on Height and Finger Length of Criminals, used by Gosset (1908) | 924 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | MacdonellDF | Macdonell's Data on Height and Finger Length of Criminals, used by Gosset (1908) | 3000 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Michelson | Michelson's Determinations of the Velocity of Light | 100 | 1 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | MichelsonSets | Michelson's Determinations of the Velocity of Light | 20 | 5 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | Minard.cities | Data from Minard's famous graphic map of Napoleon's march on Moscow | 20 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Minard.temp | Data from Minard's famous graphic map of Napoleon's march on Moscow | 9 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Minard.troops | Data from Minard's famous graphic map of Napoleon's march on Moscow | 51 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HistData | Nightingale | Florence Nightingale's data on deaths from various causes in the Crimean War | 24 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | OldMaps | Latitudes and Longitudes of 39 Points in 11 Old Maps | 468 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | PearsonLee | Pearson and Lee's data on the heights of parents and children classified by gender | 746 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HistData | PolioTrials | Polio Field Trials Data | 8 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| HistData | Prostitutes | Parent-Duchatelet's time-series data on the number of prostitutes in Paris | 516 | 5 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | Pyx | Trial of the Pyx | 72 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | Quarrels | Statistics of Deadly Quarrels | 779 | 84 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HistData | Snow.dates | John Snow's Map and Data on the 1854 London Cholera Outbreak | 44 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Snow.deaths | John Snow's Map and Data on the 1854 London Cholera Outbreak | 578 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Snow.deaths2 | John Snow's Map and Data on the 1854 London Cholera Outbreak | 578 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Snow.pumps | John Snow's Map and Data on the 1854 London Cholera Outbreak | 13 | 4 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| HistData | Snow.streets | John Snow's Map and Data on the 1854 London Cholera Outbreak | 1241 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Virginis | John F. W. Herschel's Data on the Orbit of the Twin Stars gamma Virginis | 18 | 6 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| HistData | Virginis.interp | John F. W. Herschel's Data on the Orbit of the Twin Stars gamma Virginis | 14 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Wheat | Playfair's Data on Wages and the Price of Wheat | 53 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HistData | Wheat.monarchs | Playfair's Data on Wages and the Price of Wheat | 12 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| HistData | Yeast | Student's (1906) Yeast Cell Counts | 36 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | YeastD.mat | Student's (1906) Yeast Cell Counts | 20 | 20 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HistData | ZeaMays | Darwin's Heights of Cross- and Self-fertilized Zea May Pairs | 15 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | agefat | Total Body Composision Data | 25 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | aspirin | Aspirin Data | 7 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | BCG | BCG Vaccine Data | 13 | 7 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HSAUR | birthdeathrates | Birth and Death Rates Data | 69 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | bladdercancer | Bladder Cancer Data | 31 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| HSAUR | BtheB | Beat the Blues Data | 100 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | clouds | Cloud Seeding Data | 24 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | CYGOB1 | CYG OB1 Star Cluster Data | 47 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | epilepsy | Epilepsy Data | 236 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| HSAUR | Forbes2000 | The Forbes 2000 Ranking of the World's Biggest Companies (Year 2004) | 2000 | 8 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| HSAUR | foster | Foster Feeding Experiment | 61 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | GHQ | General Health Questionnaire | 22 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| HSAUR | heptathlon | Olympic Heptathlon Seoul 1988 | 25 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | Lanza | Prevention of Gastointestinal Damages | 198 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| HSAUR | mastectomy | Survival Times after Mastectomy of Breast Cancer Patients | 44 | 3 | TRUE | TRUE | FALSE | FALSE | CSV | DOC |
| HSAUR | meteo | Meteorological Measurements for 11 Years | 11 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | orallesions | Oral Lesions in Rural India | 24 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | phosphate | Phosphate Level Data | 33 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | pistonrings | Piston Rings Failures | 12 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | planets | Exoplanets Data | 101 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | plasma | Blood Screening Data | 32 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | polyps | Familial Andenomatous Polyposis | 20 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | polyps3 | Familial Andenomatous Polyposis | 22 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| HSAUR | pottery | Romano-British Pottery Data | 45 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | rearrests | Rearrests of Juvenile Felons | 4 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | respiratory | Respiratory Illness Data | 555 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | roomwidth | Students Estimates of Lecture Room Width | 113 | 2 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | schizophrenia | Age of Onset of Schizophrenia Data | 251 | 2 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | schizophrenia2 | Schizophrenia Data | 220 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | schooldays | Days not Spent at School | 154 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| HSAUR | skulls | Egyptian Skulls | 150 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | smoking | Nicotine Gum and Smoking Cessation | 26 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HSAUR | students | Student Risk Taking | 35 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| HSAUR | suicides | Crowd Baiting Behaviour and Suicides | 4 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| HSAUR | toothpaste | Toothpaste Data | 9 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | voting | House of Representatives Voting Data | 15 | 15 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | water | Mortality and Water Hardness | 61 | 4 | FALSE | TRUE | FALSE | TRUE | CSV | DOC |
| HSAUR | watervoles | Water Voles Data | 14 | 14 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | waves | Electricity from Wave Power at Sea | 18 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| HSAUR | weightgain | Gain in Weight of Rats | 40 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| HSAUR | womensrole | Womens Role in Society | 42 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| hwde | IndianIrish | Observed genotype frequencies at MN and S loci, for 2 populations | 18 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| hwde | mendelABC | Mendel's F2 trifactorial data for seed shape (A: round or wrinkled), cotyledon color (B: albumen yellow or green), and seed coat color (C: grey-brown or white) | 27 | 4 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| ISLR | Auto | Auto Data Set | 392 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| ISLR | Caravan | The Insurance Company (TIC) Benchmark | 5822 | 86 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ISLR | Carseats | Sales of Child Car Seats | 400 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ISLR | College | U.S. News and World Report's College Data | 777 | 18 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ISLR | Credit | Credit Card Balance Data | 400 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ISLR | Default | Credit Card Default Data | 10000 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ISLR | Hitters | Baseball Data | 322 | 20 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ISLR | NCI60 | NCI 60 Data | 64 | 6831 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| ISLR | OJ | Orange Juice Data | 1070 | 18 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ISLR | Portfolio | Portfolio Data | 100 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| ISLR | Smarket | S&P Stock Market Data | 1250 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ISLR | Wage | Mid-Atlantic Wage Data | 3000 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| ISLR | Weekly | Weekly S&P Stock Market Data | 1089 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| KMsurv | aids | data from Section 1.19 | 295 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| KMsurv | alloauto | data from Section 1.9 | 101 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| KMsurv | allograft | data from Exercise 13.1, p418 | 34 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | azt | data from Exercise 4.7, p122 | 45 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | baboon | data from Exercise 5.8, p147 | 152 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | bcdeter | data from Section 1.18 | 95 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | bfeed | data from Section 1.14 | 927 | 10 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | bmt | data from Section 1.3 | 137 | 22 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | bnct | data from Exercise 7.7, p223 | 30 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | btrial | data from Section 1.5 | 45 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | burn | data from Section 1.6 | 154 | 18 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | channing | data from Section 1.16 | 462 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | drug6mp | data from Section 1.2 | 21 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | drughiv | data from Exercise 7.6, p222 | 34 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | hodg | data from Section 1.10 | 43 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | kidney | data from Section 1.4 | 119 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| KMsurv | kidrecurr | Data on 38 individuals using a kidney dialysis machine | 38 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| KMsurv | kidtran | data from Section 1.7 | 863 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | larynx | data from Section 1.8 | 90 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| KMsurv | lung | data from Exercise 4.4, p120 | 25 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | pneumon | data from Section 1.13 | 3470 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| KMsurv | psych | data from Section 1.15 | 26 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | rats | data from Exercise 7.13, p225 | 150 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | std | data from Section 1.12 | 877 | 24 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | stddiag | data from Exercise 5.6, p146 | 25 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| KMsurv | tongue | data from Section 1.11 | 80 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| KMsurv | twins | data from Exercise 7.14, p225 | 24 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| lattice | barley | Yield data from a Minnesota barley trial | 120 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| lattice | environmental | Atmospheric environmental conditions in New York City | 111 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lattice | ethanol | Engine exhaust fumes from burning ethanol | 88 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lattice | melanoma | Melanoma skin cancer incidence | 37 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lattice | singer | Heights of New York Choral Society singers | 235 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lattice | USMortality | Mortality Rates in US by Cause and Gender | 40 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| lattice | USRegionalMortality | Mortality Rates in US by Cause and Gender | 400 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| lme4 | Arabidopsis | Arabidopsis clipping/fertilization data | 625 | 8 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| lme4 | cake | Breakage Angle of Chocolate Cakes | 270 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lme4 | cbpp | Contagious bovine pleuropneumonia | 56 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lme4 | Dyestuff | Yield of dyestuff by batch | 30 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lme4 | Dyestuff2 | Yield of dyestuff by batch | 30 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lme4 | grouseticks | Data on red grouse ticks from Elston et al. 2001 | 403 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lme4 | InstEval | University Lecture/Instructor Evaluations by Students at ETH | 73421 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| lme4 | Pastes | Paste strength by batch and cask | 60 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lme4 | Penicillin | Variation in penicillin testing | 144 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lme4 | sleepstudy | Reaction times in a sleep deprivation study | 180 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| lme4 | VerbAgg | Verbal Aggression item responses | 7584 | 9 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| lmec | UTIdata | Data set for Unstructured Treatment Interruption Study | 373 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | abbey | Determinations of Nickel Content | 31 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | accdeaths | Accidental Deaths in the US 1973-1978 | 72 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | Aids2 | Australian AIDS Survival Data | 2843 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | Animals | Brain and Body Weights for 28 Species | 28 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | anorexia | Anorexia Data on Weight Change | 72 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | bacteria | Presence of Bacteria after Drug Treatments | 220 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | beav1 | Body Temperature Series of Beaver 1 | 114 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | beav2 | Body Temperature Series of Beaver 2 | 100 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | biopsy | Biopsy Data on Breast Cancer Patients | 699 | 11 | FALSE | TRUE | FALSE | TRUE | CSV | DOC |
| MASS | birthwt | Risk Factors Associated with Low Infant Birth Weight | 189 | 10 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | Boston | Housing Values in Suburbs of Boston | 506 | 14 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | cabbages | Data from a cabbage field trial | 60 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | caith | Colours of Eyes and Hair of People in Caithness | 4 | 5 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | Cars93 | Data from 93 Cars on Sale in the USA in 1993 | 93 | 27 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | cats | Anatomical Data from Domestic Cats | 144 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | cement | Heat Evolved by Setting Cements | 13 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | chem | Copper in Wholemeal Flour | 24 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | coop | Co-operative Trial in Analytical Chemistry | 252 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | cpus | Performance of Computer CPUs | 209 | 9 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | crabs | Morphological Measurements on Leptograpsus Crabs | 200 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | Cushings | Diagnostic Tests on Patients with Cushing's Syndrome | 27 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | DDT | DDT in Kale | 15 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | deaths | Monthly Deaths from Lung Diseases in the UK | 72 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | drivers | Deaths of Car Drivers in Great Britain 1969-84 | 192 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | eagles | Foraging Ecology of Bald Eagles | 8 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | epil | Seizure Counts for Epileptics | 236 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | farms | Ecological Factors in Farm Management | 20 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | fgl | Measurements of Forensic Glass Fragments | 214 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | forbes | Forbes' Data on Boiling Points in the Alps | 17 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | GAGurine | Level of GAG in Urine of Children | 314 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | galaxies | Velocities for 82 Galaxies | 82 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | gehan | Remission Times of Leukaemia Patients | 42 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | genotype | Rat Genotype Data | 61 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | geyser | Old Faithful Geyser Data | 299 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | gilgais | Line Transect of Soil in Gilgai Territory | 365 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | hills | Record Times in Scottish Hill Races | 35 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | housing | Frequency Table from a Copenhagen Housing Conditions Survey | 72 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | immer | Yields from a Barley Field Trial | 30 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | Insurance | Numbers of Car Insurance claims | 64 | 5 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | leuk | Survival Times and White Blood Counts for Leukaemia Patients | 33 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | mammals | Brain and Body Weights for 62 Species of Land Mammals | 62 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | mcycle | Data from a Simulated Motorcycle Accident | 133 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | Melanoma | Survival from Malignant Melanoma | 205 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | menarche | Age of Menarche in Warsaw | 25 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | michelson | Michelson's Speed of Light Data | 100 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | minn38 | Minnesota High School Graduates of 1938 | 168 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | motors | Accelerated Life Testing of Motorettes | 40 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | muscle | Effect of Calcium Chloride on Muscle Contraction in Rat Hearts | 60 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | newcomb | Newcomb's Measurements of the Passage Time of Light | 66 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | nlschools | Eighth-Grade Pupils in the Netherlands | 2287 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | npk | Classical N, P, K Factorial Experiment | 24 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | npr1 | US Naval Petroleum Reserve No. 1 data | 104 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | oats | Data from an Oats Field Trial | 72 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | OME | Tests of Auditory Perception in Children with OME | 1097 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | painters | The Painter's Data of de Piles | 54 | 5 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | petrol | N. L. Prater's Petrol Refinery Data | 32 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | phones | Belgium Phone Calls 1950-1973 | 24 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | Pima.te | Diabetes in Pima Indian Women | 332 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | Pima.tr | Diabetes in Pima Indian Women | 200 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | Pima.tr2 | Diabetes in Pima Indian Women | 300 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | quine | Absenteeism from School in Rural New South Wales | 146 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | Rabbit | Blood Pressure in Rabbits | 60 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | road | Road Accident Deaths in US States | 26 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | rotifer | Numbers of Rotifers by Fluid Density | 20 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | Rubber | Accelerated Testing of Tyre Rubber | 30 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | ships | Ships Damage Data | 40 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | shoes | Shoe wear data of Box, Hunter and Hunter | 10 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | shrimp | Percentage of Shrimp in Shrimp Cocktail | 18 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | shuttle | Space Shuttle Autolander Problem | 256 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | Sitka | Growth Curves for Sitka Spruce Trees in 1988 | 395 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | Sitka89 | Growth Curves for Sitka Spruce Trees in 1989 | 632 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | Skye | AFM Compositions of Aphyric Skye Lavas | 23 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | snails | Snail Mortality Data | 96 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | SP500 | Returns of the Standard and Poors 500 | 2780 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | steam | The Saturated Steam Pressure Data | 14 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | stormer | The Stormer Viscometer Data | 23 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | survey | Student Survey Data | 237 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | synth.te | Synthetic Classification Problem | 1000 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | synth.tr | Synthetic Classification Problem | 250 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | topo | Spatial Topographic Data | 52 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | Traffic | Effect of Swedish Speed Limits on Accidents | 184 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| MASS | UScereal | Nutritional and Marketing Information on US Cereals | 65 | 11 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| MASS | UScrime | The Effect of Punishment Regimes on Crime Rates | 47 | 16 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | VA | Veteran's Administration Lung Cancer Trial | 137 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | waders | Counts of Waders at 15 Sites in South Africa | 15 | 19 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| MASS | whiteside | House Insulation: Whiteside's Data | 56 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| MASS | wtloss | Weight Loss Data from an Obese Patient | 52 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| mediation | boundsdata | Example Data for the Design Functions | 1000 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mediation | CEDdata | Example Data for the Crossover Encouragement Design | 2000 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mediation | framing | Brader, Valentino and Suhay (2008) Framing Experiment Data | 265 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mediation | jobs | JOBS II data | 899 | 17 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mediation | school | School-level data | 568 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| mediation | student | Hypothetical student-level data | 9679 | 13 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| mi | CHAIN | Subset of variables from the CHAIN project | 532 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mi | nlsyV | National Longitudinal Survey of Youth Extract | 400 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | Alcohol | Alcohol Consumption per Capita | 411 | 4 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| mosaicData | Birthdays | US Births in 1969 - 1988 | 372864 | 7 | FALSE | FALSE | FALSE | TRUE | CSV | DOC |
| mosaicData | Births | US Births | 7305 | 8 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| mosaicData | Births2015 | US Births in 2015 | 365 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| mosaicData | Births78 | US Births in 1978 | 365 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| mosaicData | Cards | Standard Deck of Cards | 52 | 1 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| mosaicData | CoolingWater | CoolingWater | 222 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| mosaicData | Countries | Countries | 288 | 3 | FALSE | FALSE | FALSE | TRUE | CSV | DOC |
| mosaicData | CPS85 | Data from the 1985 Current Population Survey (CPS85) | 534 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | Dimes | Weight of dimes | 30 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| mosaicData | Galton | Galton's dataset of parent and child heights | 898 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | Gestation | Data from the Child Health and Development Studies | 1236 | 23 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| mosaicData | GoosePermits | Goose Permit Study | 11 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| mosaicData | HeatX | Data from a heat exchanger laboratory | 6 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | HELPfull | Health Evaluation and Linkage to Primary Care | 1472 | 788 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | HELPmiss | Health Evaluation and Linkage to Primary Care | 470 | 27 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | HELPrct | Health Evaluation and Linkage to Primary Care | 453 | 29 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | KidsFeet | Foot measurements in children | 39 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | Marriage | Marriage records | 98 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | Mites | Mites and Wilt Disease | 47 | 2 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| mosaicData | RailTrail | Volume of Users of a Rail Trail | 90 | 11 | TRUE | TRUE | TRUE | TRUE | CSV | DOC |
| mosaicData | Riders | Volume of Users of a Massachusetts Rail Trail | 90 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | SaratogaHouses | Houses in Saratoga County (2006) | 1728 | 16 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | SAT | State by State SAT data | 50 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| mosaicData | SnowGR | Snowfall data for Grand Rapids, MI | 119 | 15 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| mosaicData | SwimRecords | 100 m Swimming World Records | 62 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| mosaicData | TenMileRace | Cherry Blossom Race | 8636 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| mosaicData | Utilities | Utility bills | 117 | 12 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| mosaicData | Utilities2 | Utility bills | 117 | 19 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| mosaicData | Weather | Weather | 3655 | 25 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| mosaicData | Whickham | Data from the Whickham survey | 1314 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| multgee | arthritis | Rheumatoid Arthritis Clinical Trial | 906 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| multgee | housing | Homeless Data | 1448 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| plm | Cigar | Cigarette Consumption | 1380 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| plm | Crime | Crime in North Carolina | 630 | 24 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| plm | EmplUK | Employment and Wages in the United Kingdom | 1031 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| plm | Gasoline | Gasoline Consumption | 342 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| plm | Grunfeld | Grunfeld's Investment Data | 200 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| plm | Hedonic | Hedonic Prices of Census Tracts in the Boston Area | 506 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| plm | LaborSupply | Wages and Hours Worked | 5320 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| plm | Males | Wages and Education of Young Males | 4360 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| plm | Parity | Purchasing Power Parity and other parity relationships | 1768 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| plm | Produc | US States Production | 816 | 11 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| plm | RiceFarms | Production of Rice in Indonesia | 1026 | 20 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| plm | Snmesp | Employment and Wages in Spain | 5904 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| plm | SumHes | The Penn World Table, v. 5 | 3250 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| plm | Wages | Panel Data of Individual Wages | 4165 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| plyr | baseball | Yearly batting records for all major league baseball players | 21699 | 22 | FALSE | FALSE | FALSE | TRUE | CSV | DOC |
| plyr | ozone | Monthly ozone measurements over Central America. | 24 | 1728 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| pscl | absentee | Absentee and Machine Ballots in Pennsylvania State Senate Races | 22 | 8 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| pscl | admit | Applications to a Political Science PhD Program | 106 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| pscl | AustralianElectionPolling | Political opinion polls in Australia, 2004-07 | 239 | 14 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| pscl | AustralianElections | elections to Australian House of Representatives, 1949-2016 | 27 | 19 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| pscl | bioChemists | article production by graduate students in biochemistry Ph.D. programs | 915 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| pscl | ca2006 | California Congressional Districts in 2006 | 53 | 13 | TRUE | TRUE | TRUE | TRUE | CSV | DOC |
| pscl | EfronMorris | Batting Averages for 18 major league baseball players, 1970 | 18 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| pscl | iraqVote | U.S. Senate vote on the use of force against Iraq, 2002. | 100 | 6 | TRUE | TRUE | TRUE | TRUE | CSV | DOC |
| pscl | partycodes | political parties appearing in the U.S. Congress | 85 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| pscl | politicalInformation | Interviewer ratings of respondent levels of political information | 1807 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| pscl | presidentialElections | elections for U.S. President, 1932-2016, by state | 1097 | 4 | TRUE | TRUE | TRUE | TRUE | CSV | DOC |
| pscl | prussian | Prussian army horse kick data | 280 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| pscl | RockTheVote | Voter turnout experiment, using Rock The Vote ads | 85 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| pscl | state.info | information about the American states needed for U.S. Congress | 51 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| pscl | UKHouseOfCommons | 1992 United Kingdom electoral returns | 521 | 12 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| pscl | unionDensity | cross national rates of trade union density | 20 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| pscl | vote92 | Reports of voting in the 1992 U.S. Presidential election. | 909 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| psych | ability | 16 ability items scored as correct or incorrect. | 1525 | 16 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| psych | affect | Two data sets of affect and arousal scores as a function of personality and movie conditions | 330 | 20 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| psych | Bechtoldt | Seven data sets showing a bifactor solution. | 17 | 17 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Bechtoldt.1 | Seven data sets showing a bifactor solution. | 17 | 17 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Bechtoldt.2 | Seven data sets showing a bifactor solution. | 17 | 17 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | bfi | 25 Personality items representing 5 factors | 2800 | 28 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| psych | bfi.dictionary | 25 Personality items representing 5 factors | 28 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| psych | blant | A 29 x 29 matrix that produces weird factor analytic results | 29 | 29 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | blot | Bond's Logical Operations Test - BLOT | 150 | 35 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| psych | burt | 11 emotional variables from Burt (1915) | 11 | 11 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | cattell | 12 cognitive variables from Cattell (1963) | 12 | 12 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | cities | Distances between 11 US cities | 11 | 11 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| psych | cubits | Galton's example of the relationship between height and 'cubit' or forearm length | 9 | 8 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| psych | cushny | A data set from Cushny and Peebles (1905) on the effect of three drugs on hours of sleep, used by Student (1908) | 10 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Dwyer | 8 cognitive variables used by Dwyer for an example. | 8 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | epi | Eysenck Personality Inventory (EPI) data for 3570 participants | 3570 | 57 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| psych | epi.bfi | 13 personality scales from the Eysenck Personality Inventory and Big 5 inventory | 231 | 13 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| psych | epi.dictionary | Eysenck Personality Inventory (EPI) data for 3570 participants | 57 | 1 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| psych | epiR | Eysenck Personality Inventory (EPI) data for 3570 participants | 948 | 60 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| psych | galton | Galton's Mid parent child height data | 928 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Gleser | Example data from Gleser, Cronbach and Rajaratnam (1965) to show basic principles of generalizability theory. | 12 | 12 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| psych | Gorsuch | Example data set from Gorsuch (1997) for an example factor extension. | 10 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Harman.5 | Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt | 12 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Harman.8 | Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt | 8 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Harman.political | Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt | 8 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | heights | A data.frame of the Galton (1888) height and cubit data set. | 348 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Holzinger | Seven data sets showing a bifactor solution. | 14 | 14 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Holzinger.9 | Seven data sets showing a bifactor solution. | 9 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | income | US family income from US census 2008 | 44 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | iqitems | 16 multiple choice IQ items | 1525 | 16 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| psych | msq | 75 mood items from the Motivational State Questionnaire for 3896 participants | 3896 | 92 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| psych | msqR | 75 mood items from the Motivational State Questionnaire for 3032 unique participants | 6411 | 79 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| psych | neo | NEO correlation matrix from the NEO_PI_R manual | 30 | 30 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | peas | Galton's Peas | 700 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Reise | Seven data sets showing a bifactor solution. | 16 | 16 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | sai | State Anxiety data from the PMC lab over multiple occasions. | 5378 | 23 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | sai.dictionary | State Anxiety data from the PMC lab over multiple occasions. | 26 | 2 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| psych | sat.act | 3 Measures of ability: SATV, SATQ, ACT | 700 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| psych | Schmid | 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation | 12 | 12 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Schutz | The Schutz correlation matrix example from Shapiro and ten Berge | 9 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | spi | A sample from the SAPA Personality Inventory including an item dictionary and scoring keys. | 4000 | 145 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| psych | spi.dictionary | A sample from the SAPA Personality Inventory including an item dictionary and scoring keys. | 145 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| psych | tai | State Anxiety data from the PMC lab over multiple occasions. | 3032 | 23 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| psych | Tal_Or | Data set testing causal direction in presumed media influence | 123 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| psych | Thurstone | Seven data sets showing a bifactor solution. | 9 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Thurstone.33 | Seven data sets showing a bifactor solution. | 9 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Thurstone.9 | Seven data sets showing a bifactor solution. | 9 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | Tucker | 9 Cognitive variables discussed by Tucker and Lewis (1973) | 9 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| psych | withinBetween | An example of the distinction between within group and between group correlations | 16 | 10 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| quantreg | barro | Barro Data | 161 | 14 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| quantreg | Bosco | Boscovich Data | 5 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| quantreg | CobarOre | Cobar Ore data | 38 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| quantreg | engel | Engel Data | 235 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| quantreg | gasprice | Time Series of US Gasoline Prices | 695 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| quantreg | Mammals | Garland(1983) Data on Running Speed of Mammals | 107 | 4 | TRUE | TRUE | TRUE | FALSE | CSV | DOC |
| quantreg | uis | UIS Drug Treatment study data | 575 | 18 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| reshape2 | french_fries | Sensory data from a french fries experiment. | 696 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| reshape2 | smiths | Demo data describing the Smiths. | 2 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| reshape2 | tips | Tipping data | 244 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| robustbase | aircraft | Aircraft Data | 23 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | airmay | Air Quality Data | 31 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | alcohol | Alcohol Solubility in Water Data | 44 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | ambientNOxCH | Daily Means of NOx (mono-nitrogen oxides) in air | 366 | 14 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | Animals2 | Brain and Body Weights for 65 Species of Land Animals | 65 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | biomassTill | Biomass Tillage Data | 58 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | bushfire | Campbell Bushfire Data | 38 | 5 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| robustbase | carrots | Insect Damages on Carrots | 24 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | cloud | Cloud point of a Liquid | 19 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | coleman | Coleman Data Set | 20 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | condroz | Condroz Data | 428 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | CrohnD | Crohn's Disease Adverse Events Data | 117 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| robustbase | cushny | Cushny and Peebles Prolongation of Sleep Data | 10 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | delivery | Delivery Time Data | 25 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | education | Education Expenditure Data | 50 | 6 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| robustbase | epilepsy | Epilepsy Attacks Data Set | 59 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| robustbase | exAM | Example Data of Antille and May - for Simple Regression | 12 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| robustbase | foodstamp | Food Stamp Program Participation | 150 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| robustbase | hbk | Hawkins, Bradu, Kass's Artificial Data | 75 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | heart | Heart Catherization Data | 12 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | kootenay | Waterflow Measurements of Kootenay River in Libby and Newgate | 13 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | lactic | Lactic Acid Concentration Measurement Data | 20 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | los | Length of Stay Data | 201 | 1 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| robustbase | milk | Daudin's Milk Composition Data | 86 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | NOxEmissions | NOx Air Pollution Data | 8088 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | pension | Pension Funds Data | 18 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | phosphor | Phosphorus Content Data | 18 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | pilot | Pilot-Plant Data | 20 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| robustbase | possumDiv | Possum Diversity Data | 151 | 9 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| robustbase | pulpfiber | Pulp Fiber and Paper Data | 62 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | radarImage | Satellite Radar Image Data from near Munich | 1573 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | salinity | Salinity Data | 28 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | SiegelsEx | Siegel's Exact Fit Example Data | 9 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | starsCYG | Hertzsprung-Russell Diagram Data of Star Cluster CYG OB1 | 47 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | telef | Number of International Calls from Belgium | 24 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | toxicity | Toxicity of Carboxylic Acids Data | 38 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | vaso | Vaso Constriction Skin Data Set | 39 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| robustbase | wagnerGrowth | Wagner's Hannover Employment Growth Data | 63 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| robustbase | wood | Modified Data on Wood Specific Gravity | 20 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| rpart | car.test.frame | Automobile Data from 'Consumer Reports' 1990 | 60 | 8 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| rpart | car90 | Automobile Data from 'Consumer Reports' 1990 | 111 | 34 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| rpart | cu.summary | Automobile Data from 'Consumer Reports' 1990 | 117 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| rpart | kyphosis | Data on Children who have had Corrective Spinal Surgery | 81 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| rpart | solder | Soldering of Components on Printed-Circuit Boards | 720 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| rpart | stagec | Stage C Prostate Cancer | 146 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| sandwich | InstInnovation | Innovation and Institutional Ownership | 6208 | 25 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| sandwich | Investment | US Investment Data | 20 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| sandwich | PetersenCL | Petersen's Simulated Data for Assessing Clustered Standard Errors | 5000 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| sandwich | PublicSchools | US Expenditures for Public Schools | 51 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| sem | Bollen | Bollen's Data on Industrialization and Political Democracy | 75 | 11 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| sem | CNES | Variables from the 1997 Canadian National Election Study | 1529 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| sem | Klein | Klein's Data on the U. S. Economy | 22 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| sem | Kmenta | Partly Artificial Data on the U. S. Economy | 20 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| sem | Tests | Six Mental Tests | 32 | 6 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Alfalfa | Alfalfa | 15 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | ArcheryData | ArcheryData | 18 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | AutoPollution | AutoPollution | 36 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Backpack | Backpack | 100 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | BaseballTimes | BaseballTimes | 15 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | BeeStings | BeeStings | 18 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | BirdNest | BirdNest | 84 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Blood1 | Blood1 | 500 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | BlueJays | Blue Jays | 123 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | BritishUnions | BritishUnions | 17 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | CAFE | CAFE | 100 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | CalciumBP | CalciumBP | 21 | 2 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | CancerSurvival | CancerSurvival | 64 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Caterpillars | Caterpillars | 267 | 18 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Cereal | Cereal | 36 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | ChemoTHC | ChemoTHC | 2 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | ChildSpeaks | ChildSpeaks | 21 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Clothing | Clothing | 60 | 8 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | CloudSeeding | Cloud Seeding | 28 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | CloudSeeding2 | Cloud Seeding 2 | 108 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | CO2 | CO2 | 237 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | CrackerFiber | Cracker Fiber in Diets | 48 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Cuckoo | Cuckoo | 120 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Day1Survey | Day1Survey | 43 | 13 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Diamonds | Diamonds | 351 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Diamonds2 | Diamonds2 | 307 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Election08 | Election08 | 51 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Ethanol | Ethanol | 16 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | FantasyBaseball | FantasyBaseball | 24 | 9 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Fertility | Fertility | 333 | 10 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | FGByDistance | FGByDistance | 51 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Film | Film | 100 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | FinalFourIzzo | FinalFourIzzo | 1664 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | FinalFourLong | FinalFourLong | 2048 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | FinalFourShort | FinalFourShort | 512 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Fingers | Fingers | 12 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | FirstYearGPA | FirstYearGPA | 219 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | FishEggs | FishEggs | 35 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | FlightResponse | FlightResponse | 464 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Fluorescence | Fluorescence | 51 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | FruitFlies | FruitFlies | 125 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Goldenrod | Goldenrod Galls | 1055 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Grocery | Grocery | 36 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Gunnels | Gunnels | 1592 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Hawks | Hawks | 908 | 19 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | HawkTail | HawkTail | 838 | 2 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | HawkTail2 | HawkTail2 | 577 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | HearingTest | HearingTest | 96 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | HighPeaks | HighPeaks | 46 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Hoops | Hoops | 147 | 22 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | HorsePrices | HorsePrices | 50 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Houses | Houses | 20 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | ICU | ICU | 200 | 9 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | InfantMortality | InfantMortality | 9 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | InsuranceVote | InsuranceVote | 435 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Jurors | Jurors | 52 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Kids198 | Kids198 | 198 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | LeafHoppers | LeafHoppers | 8 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Leukemia | Leukemia | 51 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | LongJumpOlympics | LongJumpOlympics | 26 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | LostLetter | LostLetter | 140 | 8 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Marathon | Marathon | 1127 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Markets | Markets | 56 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | MathEnrollment | Math Enrollments | 11 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | MathPlacement | Math Placement | 2696 | 16 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | MedGPA | MedGPA | 55 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | MentalHealth | Mental Health Admissions | 36 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | MetabolicRate | Metabolic Rate of Caterpillars | 305 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | MetroHealth83 | MetroHealth83 | 83 | 16 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Milgram | Milgram | 37 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | MLB2007Standings | MLB2007Standings | 30 | 21 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | MothEggs | Moth Eggs | 39 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | NCbirths | NCbirths | 1450 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | NFL2007Standings | NFL2007Standings | 32 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Nursing | Nursing | 52 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Olives | Olives | 18 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Orings | Orings | 24 | 2 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Overdrawn | Overdrawn | 450 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | PalmBeach | PalmBeach | 67 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Pedometer | Pedometer | 68 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Perch | Perch | 56 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | PigFeed | PigFeed | 12 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Pines | Pines | 1000 | 15 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Political | Political | 59 | 9 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Pollster08 | Pollster08 | 102 | 11 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Popcorn | Popcorn | 12 | 3 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | PorscheJaguar | PorscheJaguar | 60 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | PorschePrice | PorschePrice | 30 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Pulse | Pulse | 232 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Putts1 | Putts1 | 587 | 2 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Putts2 | Putts2 | 5 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | ReligionGDP | ReligionGDP | 44 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Retirement | Retirement | 16 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | RiverElements | RiverElements | 12 | 27 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | RiverIron | River Iron | 12 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | SampleFG | SampleFG | 30 | 13 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | SandwichAnts | Sandwich Ants | 48 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | SATGPA | SAT scores and GPA | 24 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | SeaSlugs | Sea Slugs | 36 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Sparrows | Sparrows | 116 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | SpeciesArea | Species Area | 14 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Speed | Speed | 21 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | Swahili | Swahili | 480 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | TextPrices | Text Prices | 30 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | ThreeCars | Three Cars | 90 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | TipJoke | Tip Joke | 211 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Titanic | Titanic | 1313 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | TMS | TMS | 2 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | TomlinsonRush | LaDainian Tomlinson Rushing Yards | 16 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | TwinsLungs | TwinsLungs | 14 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | USstamps | USstamps | 25 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Stat2Data | Volts | Volts | 50 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | WalkingBabies | WalkingBabies | 24 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Stat2Data | WeightLossIncentive | WeightLossIncentive | 38 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | WeightLossIncentive4 | WeightLossIncentive4 | 36 | 2 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | WeightLossIncentive7 | WeightLossIncentive7 | 33 | 2 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Stat2Data | WordMemory | WordMemory | 40 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | YouthRisk2007 | YouthRisk2007 | 13387 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Stat2Data | YouthRisk2009 | YouthRisk2009 | 500 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| survival | bladder | Bladder Cancer Recurrences | 340 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | cancer | NCCTG Lung Cancer Data | 228 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | cgd | Chronic Granulotomous Disease data | 203 | 16 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | colon | Chemotherapy for Stage B/C colon cancer | 1858 | 16 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | flchain | Assay of serum free light chain for 7874 subjects. | 7874 | 11 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | genfan | Generator fans | 70 | 2 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | heart | Stanford Heart Transplant data | 172 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | kidney | Kidney catheter data | 76 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | leukemia | Acute Myelogenous Leukemia survival data | 23 | 3 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | logan | Data from the 1972-78 GSS data used by Logan | 838 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| survival | lung | NCCTG Lung Cancer Data | 228 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | mgus | Monoclonal gammapothy data | 241 | 12 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | mgus2 | Monoclonal gammapothy data | 1384 | 10 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | myeloid | Acute myeloid leukemia | 646 | 7 | FALSE | TRUE | FALSE | TRUE | CSV | DOC |
| survival | nwtco | Data from the National Wilm's Tumor Study | 4028 | 9 | TRUE | TRUE | FALSE | FALSE | CSV | DOC |
| survival | ovarian | Ovarian Cancer Survival Data | 26 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | pbc | Mayo Clinic Primary Biliary Cirrhosis Data | 418 | 20 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | rats | Rat treatment data from Mantel et al | 300 | 5 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| survival | retinopathy | Diabetic Retinopathy | 394 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | rhDNase | rhDNASE data set | 767 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | stanford2 | More Stanford Heart Transplant data | 184 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | tobin | Tobin's Tobit data | 20 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| survival | transplant | Liver transplant waiting list | 815 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| survival | uspop2 | Projected US Population | 101 | 42 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| survival | veteran | Veterans' Administration Lung Cancer study | 137 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| texmex | liver | Liver related laboratory data | 606 | 9 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| texmex | nidd | Rain, wavesurge, portpirie and nidd datasets. | 154 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| texmex | portpirie | Rain, wavesurge, portpirie and nidd datasets. | 65 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| texmex | rain | Rain, wavesurge, portpirie and nidd datasets. | 17531 | 1 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| texmex | summer | Air pollution data, separately for summer and winter months | 578 | 5 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| texmex | wavesurge | Rain, wavesurge, portpirie and nidd datasets. | 2894 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| texmex | winter | Air pollution data, separately for summer and winter months | 532 | 5 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| vcd | Arthritis | Arthritis Treatment Data | 84 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| vcd | Baseball | Baseball Data | 322 | 25 | FALSE | TRUE | TRUE | TRUE | CSV | DOC |
| vcd | BrokenMarriage | Broken Marriage Data | 20 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | Bundesliga | Ergebnisse der Fussball-Bundesliga | 14018 | 7 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| vcd | Bundestag2005 | Votes in German Bundestag Election 2005 | 80 | 3 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| vcd | Butterfly | Butterfly Species in Malaya | 24 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | CoalMiners | Breathlessness and Wheeze in Coal Miners | 36 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | DanishWelfare | Danish Welfare Study Data | 180 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | Employment | Employment Status | 24 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | Federalist | 'May' in Federalist Papers | 7 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| vcd | Hitters | Hitters Data | 154 | 4 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | HorseKicks | Death by Horse Kicks | 5 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| vcd | Hospital | Hospital data | 9 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | JobSatisfaction | Job Satisfaction Data | 8 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | JointSports | Opinions About Joint Sports | 40 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | Lifeboats | Lifeboats on the Titanic | 18 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | MSPatients | Diagnosis of Multiple Sclerosis | 4 | 8 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | NonResponse | Non-Response Survey Data | 12 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | OvaryCancer | Ovary Cancer Data | 16 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | PreSex | Pre-marital Sex and Divorce | 16 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | Punishment | Corporal Punishment Data | 36 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | RepVict | Repeat Victimization Data | 64 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | Rochdale | Rochdale Data | 256 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | Saxony | Families in Saxony | 13 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | SexualFun | Sex is Fun | 16 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | SpaceShuttle | Space Shuttle O-ring Failures | 24 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| vcd | Suicide | Suicide Rates in Germany | 306 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | Trucks | Truck Accidents Data | 24 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | UKSoccer | UK Soccer Scores | 25 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | VisualAcuity | Visual Acuity in Left and Right Eyes | 32 | 4 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| vcd | VonBort | Von Bortkiewicz Horse Kicks Data | 280 | 4 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| vcd | WeldonDice | Weldon's Dice Data | 11 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| vcd | WomenQueue | Women in Queues | 11 | 2 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Zelig | approval | U.S. Presidential Approval Data | 65 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | bivariate | Sample data for bivariate probit regression | 78 | 6 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Zelig | CigarettesSW | Cigarette Consumption Panel Data | 96 | 9 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | coalition | Coalition Dissolution in Parliamentary Democracies | 314 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | coalition2 | Coalition Dissolution in Parliamentary Democracies, Modified Version | 314 | 8 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | eidat | Simulation Data for Ecological Inference | 10 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Zelig | free1 | Freedom of Speech Data | 450 | 11 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Zelig | free2 | Freedom of Speech Data | 450 | 11 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Zelig | friendship | Simulated Example of Schoolchildren Friendship Network | 0 | 7 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Zelig | grunfeld | Simulation Data for model Seemingly Unrelated Regression (sur) that corresponds to method SUR of systemfit | 20 | 7 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Zelig | hoff | Social Security Expenditure Data | 36 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | homerun | Sample Data on Home Runs Hit By Mark McGwire and Sammy Sosa in 1998. | 314 | 5 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Zelig | immi1 | Individual Preferences Over Immigration Policy | 2485 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | immi2 | Individual Preferences Over Immigration Policy | 2485 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | immi3 | Individual Preferences Over Immigration Policy | 2485 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | immi4 | Individual Preferences Over Immigration Policy | 2485 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | immi5 | Individual Preferences Over Immigration Policy | 2485 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | immigration | Individual Preferences Over Immigration Policy | 2485 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | klein | Simulation Data for model Two-Stage Least Square (twosls) that corresponds to method 2SLS of systemfit | 21 | 14 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Zelig | kmenta | Simulation Data for model Three-Stage Least Square (threesls) that corresponds to method 3SLS of systemfit | 20 | 5 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Zelig | macro | Macroeconomic Data | 350 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Zelig | MatchIt.url | Table of links for Zelig | 2 | 2 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Zelig | mexico | Voting Data from the 1988 Mexican Presidental Election | 1359 | 33 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Zelig | mid | Militarized Interstate Disputes | 3126 | 7 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | newpainters | The Discretized Painter's Data of de Piles | 54 | 4 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Zelig | PErisk | Political Economic Risk Data from 62 Countries in 1987 | 62 | 6 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | sanction | Multilateral Economic Sanctions | 78 | 8 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Zelig | seatshare | Left Party Seat Share in 11 OECD Countries | 384 | 4 | FALSE | FALSE | TRUE | TRUE | CSV | DOC |
| Zelig | sna.ex | Simulated Example of Social Network Data | 0 | 5 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
| Zelig | SupremeCourt | U.S. Supreme Court Vote Matrix | 43 | 9 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Zelig | swiss | Swiss Fertility and Socioeconomic Indicators (1888) Data | 47 | 6 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Zelig | tobin | Tobin's Tobit Data | 20 | 3 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Zelig | turnout | Turnout Data Set from the National Election Survey | 2000 | 5 | FALSE | TRUE | TRUE | FALSE | CSV | DOC |
| Zelig | voteincome | Sample Turnout and Demographic Data from the 2000 Current Population Survey | 1500 | 7 | FALSE | TRUE | FALSE | FALSE | CSV | DOC |
| Zelig | Weimar | 1932 Weimar election data | 10 | 11 | FALSE | FALSE | TRUE | FALSE | CSV | DOC |
| Zelig | Zelig.url | Table of links for Zelig | 49 | 2 | FALSE | FALSE | FALSE | FALSE | CSV | DOC |
彩蛋：文末有如何用数据画图的精彩实例。
下面是运行的结果，请参考：
Example 02-02: Salaries for Professors
In [1]:
using DataFramesMeta
using Gadfly
using KernelDensity
using RDatasets
Exploring contents of RDatasets package
In [2]:
RDatasets.packages()
Out[2]:
| Package | Title | |
|---|---|---|
| 1 | COUNT | Functions, data and code for count data. |
| 2 | Ecdat | Data sets for econometrics |
| 3 | HSAUR | A Handbook of Statistical Analyses Using R (1st Edition) |
| 4 | HistData | Data sets from the history of statistics and data visualization |
| 5 | ISLR | Data for An Introduction to Statistical Learning with Applications in R |
| 6 | KMsurv | Data sets from Klein and Moeschberger (1997), Survival Analysis |
| 7 | MASS | Support Functions and Datasets for Venables and Ripley's MASS |
| 8 | SASmixed | Data sets from \"SAS System for Mixed Models\" |
| 9 | Zelig | Everyone's Statistical Software |
| 10 | adehabitatLT | Analysis of Animal Movements |
| 11 | boot | Bootstrap Functions (Originally by Angelo Canty for S) |
| 12 | car | Companion to Applied Regression |
| 13 | cluster | Cluster Analysis Extended Rousseeuw et al. |
| 14 | datasets | The R Datasets Package |
| 15 | gap | Genetic analysis package |
| 16 | ggplot2 | An Implementation of the Grammar of Graphics |
| 17 | lattice | Lattice Graphics |
| 18 | lme4 | Linear mixed-effects models using Eigen and S4 |
| 19 | mgcv | Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation |
| 20 | mlmRev | Examples from Multilevel Modelling Software Review |
| 21 | nlreg | Higher Order Inference for Nonlinear Heteroscedastic Models |
| 22 | plm | Linear Models for Panel Data |
| 23 | plyr | Tools for splitting, applying and combining data |
| 24 | pscl | Political Science Computational Laboratory, Stanford University |
| 25 | psych | Procedures for Psychological, Psychometric, and Personality Research |
| 26 | quantreg | Quantile Regression |
| 27 | reshape2 | Flexibly Reshape Data: A Reboot of the Reshape Package. |
| 28 | robustbase | Basic Robust Statistics |
| 29 | rpart | Recursive Partitioning and Regression Trees |
| 30 | sandwich | Robust Covariance Matrix Estimators |
| ⋮ | ⋮ | ⋮ |
In [3]:
RDatasets.datasets()
Out[3]:
| Package | Dataset | Title | Rows | Columns | |
|---|---|---|---|---|---|
| 1 | COUNT | affairs | affairs | 601 | 18 |
| 2 | COUNT | azdrg112 | azdrg112 | 1798 | 4 |
| 3 | COUNT | azpro | azpro | 3589 | 6 |
| 4 | COUNT | badhealth | badhealth | 1127 | 3 |
| 5 | COUNT | fasttrakg | fasttrakg | 15 | 9 |
| 6 | COUNT | lbw | lbw | 189 | 10 |
| 7 | COUNT | lbwgrp | lbwgrp | 6 | 7 |
| 8 | COUNT | loomis | loomis | 410 | 11 |
| 9 | COUNT | mdvis | mdvis | 2227 | 13 |
| 10 | COUNT | medpar | medpar | 1495 | 10 |
| 11 | COUNT | rwm | rwm | 27326 | 4 |
| 12 | COUNT | rwm5yr | rwm5yr | 19609 | 17 |
| 13 | COUNT | ships | ships | 40 | 7 |
| 14 | COUNT | titanic | titanic | 1316 | 4 |
| 15 | COUNT | titanicgrp | titanicgrp | 12 | 5 |
| 16 | Ecdat | Accident | Ship Accidents | 40 | 5 |
| 17 | Ecdat | Airline | Cost for U.S. Airlines | 90 | 6 |
| 18 | Ecdat | Airq | Air Quality for Californian Metropolitan Areas | 30 | 6 |
| 19 | Ecdat | Benefits | Unemployement of Blue Collar Workers | 4877 | 18 |
| 20 | Ecdat | Bids | Bids Received By U.S. Firms | 126 | 12 |
| 21 | Ecdat | BudgetFood | Budget Share of Food for Spanish Households | 23972 | 6 |
| 22 | Ecdat | BudgetItaly | Budget Shares for Italian Households | 1729 | 11 |
| 23 | Ecdat | BudgetUK | Budget Shares of British Households | 1519 | 10 |
| 24 | Ecdat | Bwages | Wages in Belgium | 1472 | 4 |
| 25 | Ecdat | CPSch3 | Earnings from the Current Population Survey | 11130 | 3 |
| 26 | Ecdat | Capm | Stock Market Data | 516 | 5 |
| 27 | Ecdat | Car | Stated Preferences for Car Choice | 4654 | 70 |
| 28 | Ecdat | Caschool | The California Test Score Data Set | 420 | 17 |
| 29 | Ecdat | Catsup | Choice of Brand for Catsup | 2798 | 14 |
| 30 | Ecdat | Cigar | Cigarette Consumption | 1380 | 9 |
| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |
In [4]:
RDatasets.datasets("car")
Out[4]:
| Package | Dataset | Title | Rows | Columns | |
|---|---|---|---|---|---|
| 1 | car | AMSsurvey | American Math Society Survey Data | 24 | 5 |
| 2 | car | Adler | Experimenter Expectations | 97 | 3 |
| 3 | car | Angell | Moral Integration of American Cities | 43 | 5 |
| 4 | car | Anscombe | U. S. State Public-School Expenditures | 51 | 5 |
| 5 | car | Baumann | Methods of Teaching Reading Comprehension | 66 | 6 |
| 6 | car | Bfox | Canadian Women's Labour-Force Participation | 30 | 7 |
| 7 | car | Blackmore | Exercise Histories of Eating-Disordered and Control Subjects | 945 | 4 |
| 8 | car | Burt | Fraudulent Data on IQs of Twins Raised Apart | 27 | 3 |
| 9 | car | CanPop | Canadian Population Data | 16 | 2 |
| 10 | car | Chile | Voting Intentions in the 1988 Chilean Plebiscite | 2700 | 8 |
| 11 | car | Chirot | The 1907 Romanian Peasant Rebellion | 32 | 5 |
| 12 | car | Cowles | Cowles and Davis's Data on Volunteering | 1421 | 4 |
| 13 | car | Davis | Self-Reports of Height and Weight | 200 | 5 |
| 14 | car | DavisThin | Davis's Data on Drive for Thinness | 191 | 7 |
| 15 | car | Depredations | Minnesota Wolf Depredation Data | 434 | 5 |
| 16 | car | Duncan | Duncan's Occupational Prestige Data | 45 | 5 |
| 17 | car | Ericksen | The 1980 U.S. Census Undercount | 66 | 10 |
| 18 | car | Florida | Florida County Voting | 67 | 12 |
| 19 | car | Freedman | Crowding and Crime in U. S. Metropolitan Areas | 110 | 5 |
| 20 | car | Friendly | Format Effects on Recall | 30 | 2 |
| 21 | car | Ginzberg | Data on Depression | 82 | 6 |
| 22 | car | Greene | Refugee Appeals | 384 | 7 |
| 23 | car | Guyer | Anonymity and Cooperation | 20 | 3 |
| 24 | car | Hartnagel | Canadian Crime-Rates Time Series | 38 | 8 |
| 25 | car | Highway1 | Highway Accidents | 39 | 12 |
| 26 | car | Leinhardt | Data on Infant-Mortality | 105 | 5 |
| 27 | car | Mandel | Contrived Collinear Data | 8 | 3 |
| 28 | car | Migration | Canadian Interprovincial Migration Data | 90 | 8 |
| 29 | car | Moore | Status, Authoritarianism, and Conformity | 45 | 4 |
| 30 | car | Mroz | U.S. Women's Labor-Force Participation | 753 | 8 |
| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |
In [5]:
@where(RDatasets.datasets(), :Package .== "car")
Out[5]:
| Package | Dataset | Title | Rows | Columns | |
|---|---|---|---|---|---|
| 1 | car | AMSsurvey | American Math Society Survey Data | 24 | 5 |
| 2 | car | Adler | Experimenter Expectations | 97 | 3 |
| 3 | car | Angell | Moral Integration of American Cities | 43 | 5 |
| 4 | car | Anscombe | U. S. State Public-School Expenditures | 51 | 5 |
| 5 | car | Baumann | Methods of Teaching Reading Comprehension | 66 | 6 |
| 6 | car | Bfox | Canadian Women's Labour-Force Participation | 30 | 7 |
| 7 | car | Blackmore | Exercise Histories of Eating-Disordered and Control Subjects | 945 | 4 |
| 8 | car | Burt | Fraudulent Data on IQs of Twins Raised Apart | 27 | 3 |
| 9 | car | CanPop | Canadian Population Data | 16 | 2 |
| 10 | car | Chile | Voting Intentions in the 1988 Chilean Plebiscite | 2700 | 8 |
| 11 | car | Chirot | The 1907 Romanian Peasant Rebellion | 32 | 5 |
| 12 | car | Cowles | Cowles and Davis's Data on Volunteering | 1421 | 4 |
| 13 | car | Davis | Self-Reports of Height and Weight | 200 | 5 |
| 14 | car | DavisThin | Davis's Data on Drive for Thinness | 191 | 7 |
| 15 | car | Depredations | Minnesota Wolf Depredation Data | 434 | 5 |
| 16 | car | Duncan | Duncan's Occupational Prestige Data | 45 | 5 |
| 17 | car | Ericksen | The 1980 U.S. Census Undercount | 66 | 10 |
| 18 | car | Florida | Florida County Voting | 67 | 12 |
| 19 | car | Freedman | Crowding and Crime in U. S. Metropolitan Areas | 110 | 5 |
| 20 | car | Friendly | Format Effects on Recall | 30 | 2 |
| 21 | car | Ginzberg | Data on Depression | 82 | 6 |
| 22 | car | Greene | Refugee Appeals | 384 | 7 |
| 23 | car | Guyer | Anonymity and Cooperation | 20 | 3 |
| 24 | car | Hartnagel | Canadian Crime-Rates Time Series | 38 | 8 |
| 25 | car | Highway1 | Highway Accidents | 39 | 12 |
| 26 | car | Leinhardt | Data on Infant-Mortality | 105 | 5 |
| 27 | car | Mandel | Contrived Collinear Data | 8 | 3 |
| 28 | car | Migration | Canadian Interprovincial Migration Data | 90 | 8 |
| 29 | car | Moore | Status, Authoritarianism, and Conformity | 45 | 4 |
| 30 | car | Mroz | U.S. Women's Labor-Force Participation | 753 | 8 |
| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |
In [6]:
@where(RDatasets.datasets(), :Package .== "car", :Dataset .== "Salaries")
Out[6]:
| Package | Dataset | Title | Rows | Columns | |
|---|---|---|---|---|---|
| 1 | car | Salaries | Salaries for Professors | 397 | 6 |
Loading a datasets from RDatasets
In [7]:
SalariesFrame = dataset("car", "Salaries")
Out[7]:
| Rank | Discipline | YrsSincePhD | YrsService | Sex | Salary | |
|---|---|---|---|---|---|---|
| 1 | Prof | B | 19 | 18 | Male | 139750 |
| 2 | Prof | B | 20 | 16 | Male | 173200 |
| 3 | AsstProf | B | 4 | 3 | Male | 79750 |
| 4 | Prof | B | 45 | 39 | Male | 115000 |
| 5 | Prof | B | 40 | 41 | Male | 141500 |
| 6 | AssocProf | B | 6 | 6 | Male | 97000 |
| 7 | Prof | B | 30 | 23 | Male | 175000 |
| 8 | Prof | B | 45 | 45 | Male | 147765 |
| 9 | Prof | B | 21 | 20 | Male | 119250 |
| 10 | Prof | B | 18 | 18 | Female | 129000 |
| 11 | AssocProf | B | 12 | 8 | Male | 119800 |
| 12 | AsstProf | B | 7 | 2 | Male | 79800 |
| 13 | AsstProf | B | 1 | 1 | Male | 77700 |
| 14 | AsstProf | B | 2 | 0 | Male | 78000 |
| 15 | Prof | B | 20 | 18 | Male | 104800 |
| 16 | Prof | B | 12 | 3 | Male | 117150 |
| 17 | Prof | B | 19 | 20 | Male | 101000 |
| 18 | Prof | A | 38 | 34 | Male | 103450 |
| 19 | Prof | A | 37 | 23 | Male | 124750 |
| 20 | Prof | A | 39 | 36 | Female | 137000 |
| 21 | Prof | A | 31 | 26 | Male | 89565 |
| 22 | Prof | A | 36 | 31 | Male | 102580 |
| 23 | Prof | A | 34 | 30 | Male | 93904 |
| 24 | Prof | A | 24 | 19 | Male | 113068 |
| 25 | AssocProf | A | 13 | 8 | Female | 74830 |
| 26 | Prof | A | 21 | 8 | Male | 106294 |
| 27 | Prof | A | 35 | 23 | Male | 134885 |
| 28 | AsstProf | B | 5 | 3 | Male | 82379 |
| 29 | AsstProf | B | 11 | 0 | Male | 77000 |
| 30 | Prof | B | 12 | 8 | Male | 118223 |
| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |
Getting basic information about a DataFrame
In [8]:
size(SalariesFrame)
Out[8]:
(397, 6)
WARNING: Method definition unix2zdt(Real) in module TimeZones at /home/jrun/.julia/v0.6/TimeZones/src/conversions.jl:122 overwritten in module RData at /home/jrun/.julia/v0.6/RData/src/convert.jl:201.
In [9]:
names(SalariesFrame)
Out[9]:
6-element Array{Symbol,1}:
:Rank
:Discipline
:YrsSincePhD
:YrsService
:Sex
:Salary
In [10]:
head(SalariesFrame, 10)
Out[10]:
| Rank | Discipline | YrsSincePhD | YrsService | Sex | Salary | |
|---|---|---|---|---|---|---|
| 1 | Prof | B | 19 | 18 | Male | 139750 |
| 2 | Prof | B | 20 | 16 | Male | 173200 |
| 3 | AsstProf | B | 4 | 3 | Male | 79750 |
| 4 | Prof | B | 45 | 39 | Male | 115000 |
| 5 | Prof | B | 40 | 41 | Male | 141500 |
| 6 | AssocProf | B | 6 | 6 | Male | 97000 |
| 7 | Prof | B | 30 | 23 | Male | 175000 |
| 8 | Prof | B | 45 | 45 | Male | 147765 |
| 9 | Prof | B | 21 | 20 | Male | 119250 |
| 10 | Prof | B | 18 | 18 | Female | 129000 |
In [11]:
tail(SalariesFrame)
Out[11]:
| Rank | Discipline | YrsSincePhD | YrsService | Sex | Salary | |
|---|---|---|---|---|---|---|
| 1 | Prof | A | 30 | 19 | Male | 151292 |
| 2 | Prof | A | 33 | 30 | Male | 103106 |
| 3 | Prof | A | 31 | 19 | Male | 150564 |
| 4 | Prof | A | 42 | 25 | Male | 101738 |
| 5 | Prof | A | 25 | 15 | Male | 95329 |
| 6 | AsstProf | A | 8 | 4 | Male | 81035 |
In [12]:
describe(SalariesFrame)
Out[12]:
| variable | mean | min | median | max | nunique | nmissing | eltype | |
|---|---|---|---|---|---|---|---|---|
| 1 | Rank | 3 | CategoricalArrays.CategoricalString{UInt8} | |||||
| 2 | Discipline | 2 | CategoricalArrays.CategoricalString{UInt8} | |||||
| 3 | YrsSincePhD | 22.3149 | 1 | 21.0 | 56 | Int32 | ||
| 4 | YrsService | 17.6146 | 0 | 16.0 | 60 | Int32 | ||
| 5 | Sex | 2 | CategoricalArrays.CategoricalString{UInt8} | |||||
| 6 | Salary | 1.13706e5 | 57800 | 107300.0 | 231545 | Int32 |
Basic manipulation of a DataFrame
In [13]:
sort!(SalariesFrame, cols=[:YrsService, :YrsSincePhD])
Out[13]:
| Rank | Discipline | YrsSincePhD | YrsService | Sex | Salary | |
|---|---|---|---|---|---|---|
| 1 | AsstProf | B | 1 | 0 | Male | 88000 |
| 2 | AsstProf | B | 1 | 0 | Male | 88795 |
| 3 | AsstProf | B | 2 | 0 | Male | 78000 |
| 4 | AsstProf | A | 2 | 0 | Female | 72500 |
| 5 | AsstProf | A | 2 | 0 | Male | 85000 |
| 6 | AsstProf | B | 4 | 0 | Male | 84000 |
| 7 | AsstProf | B | 4 | 0 | Male | 92000 |
| 8 | AsstProf | B | 5 | 0 | Female | 77000 |
| 9 | AsstProf | A | 5 | 0 | Male | 74000 |
| 10 | AsstProf | B | 11 | 0 | Male | 77000 |
| 11 | Prof | A | 12 | 0 | Female | 105000 |
| 12 | AsstProf | B | 1 | 1 | Male | 77700 |
| 13 | AsstProf | B | 1 | 1 | Male | 70768 |
| 14 | AsstProf | B | 3 | 1 | Male | 86100 |
| 15 | AsstProf | A | 3 | 1 | Male | 72500 |
| 16 | AsstProf | A | 3 | 1 | Female | 72500 |
| 17 | AsstProf | A | 3 | 1 | Male | 63900 |
| 18 | AsstProf | A | 4 | 1 | Male | 72500 |
| 19 | AsstProf | A | 4 | 1 | Male | 73000 |
| 20 | AsstProf | A | 4 | 1 | Male | 74856 |
| 21 | AsstProf | B | 8 | 1 | Male | 83600 |
| 22 | AssocProf | A | 10 | 1 | Male | 108413 |
| 23 | AssocProf | B | 11 | 1 | Male | 118700 |
| 24 | AssocProf | A | 11 | 1 | Male | 104800 |
| 25 | AsstProf | B | 2 | 2 | Male | 88400 |
| 26 | AsstProf | B | 2 | 2 | Male | 89516 |
| 27 | AsstProf | B | 3 | 2 | Male | 75243 |
| 28 | AsstProf | B | 4 | 2 | Male | 80225 |
| 29 | AsstProf | B | 4 | 2 | Female | 80225 |
| 30 | AsstProf | A | 4 | 2 | Male | 73000 |
| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |
In [14]:
# pool!(SalariesFrame, [:Discipline, :Sex])
In [15]:
levels(SalariesFrame[:Sex])
Out[15]:
2-element Array{String,1}:
"Female"
"Male"
Exploratory statistical analysis of professorial salaries
In [16]:
by(SalariesFrame, :Rank) do df
DataFrame(
n = length(df[:Salary]),
mean = round(mean(df[:Salary]), 3),
std = round(std(df[:Salary]), 3)
)
end
Out[16]:
| Rank | n | mean | std | |
|---|---|---|---|---|
| 1 | AsstProf | 67 | 80776.0 | 8174.11 |
| 2 | Prof | 266 | 1.26772e5 | 27718.7 |
| 3 | AssocProf | 64 | 93876.4 | 13831.7 |
In [17]:
by(SalariesFrame, :Discipline) do df
DataFrame(
n = length(df[:Salary]),
mean = round(mean(df[:Salary]), 3),
std = round(std(df[:Salary]), 3)
)
end
Out[17]:
| Discipline | n | mean | std | |
|---|---|---|---|---|
| 1 | B | 216 | 1.18029e5 | 29459.1 |
| 2 | A | 181 | 1.08548e5 | 30538.1 |
In [18]:
by(SalariesFrame, :Sex) do df
DataFrame(
n = length(df[:Salary]),
mean = round(mean(df[:Salary]), 3),
std = round(std(df[:Salary]), 3)
)
end
Out[18]:
| Sex | n | mean | std | |
|---|---|---|---|---|
| 1 | Male | 358 | 1.1509e5 | 30436.9 |
| 2 | Female | 39 | 1.01002e5 | 25952.1 |
In [19]:
by(SalariesFrame, [:Rank, :Discipline]) do df
DataFrame(
n = length(df[:Salary]),
mean = round(mean(df[:Salary]), 3),
std = round(std(df[:Salary]), 3)
)
end
Out[19]:
| Rank | Discipline | n | mean | std | |
|---|---|---|---|---|---|
| 1 | AsstProf | B | 43 | 84593.9 | 7148.4 |
| 2 | AsstProf | A | 24 | 73935.5 | 4726.83 |
| 3 | Prof | A | 131 | 1.19948e5 | 27960.2 |
| 4 | AssocProf | A | 26 | 83061.1 | 11050.5 |
| 5 | AssocProf | B | 38 | 1.01276e5 | 10237.6 |
| 6 | Prof | B | 135 | 1.33394e5 | 25909.8 |
In [20]:
by(SalariesFrame, [:Rank, :Sex]) do df
DataFrame(
n = length(df[:Salary]),
mean = round(mean(df[:Salary]), 3),
std = round(std(df[:Salary]), 3)
)
end
Out[20]:
| Rank | Sex | n | mean | std | |
|---|---|---|---|---|---|
| 1 | AsstProf | Male | 56 | 81311.5 | 7901.34 |
| 2 | AsstProf | Female | 11 | 78049.9 | 9372.0 |
| 3 | Prof | Female | 18 | 1.21968e5 | 19619.6 |
| 4 | AssocProf | Male | 54 | 94869.7 | 12890.8 |
| 5 | Prof | Male | 248 | 1.27121e5 | 28213.8 |
| 6 | AssocProf | Female | 10 | 88512.8 | 17965.3 |
In [21]:
by(SalariesFrame, [:Discipline, :Sex]) do df
DataFrame(
n = length(df[:Salary]),
mean = round(mean(df[:Salary]), 3),
std = round(std(df[:Salary]), 3)
)
end
Out[21]:
| Discipline | Sex | n | mean | std | |
|---|---|---|---|---|---|
| 1 | B | Male | 195 | 1.1876e5 | 29831.3 |
| 2 | A | Female | 18 | 89064.9 | 21638.6 |
| 3 | A | Male | 163 | 110700.0 | 30663.1 |
| 4 | B | Female | 21 | 1.11235e5 | 25367.2 |
In [22]:
by(SalariesFrame, [:Rank, :Discipline, :Sex]) do df
DataFrame(
n = length(df[:Salary]),
mean = round(mean(df[:Salary]), 3),
std = round(std(df[:Salary]), 3)
)
end
Out[22]:
| Rank | Discipline | Sex | n | mean | std | |
|---|---|---|---|---|---|---|
| 1 | AsstProf | B | Male | 38 | 84647.1 | 6900.29 |
| 2 | AsstProf | A | Female | 6 | 72933.3 | 5463.21 |
| 3 | AsstProf | A | Male | 18 | 74269.6 | 4580.13 |
| 4 | AsstProf | B | Female | 5 | 84189.8 | 9792.12 |
| 5 | Prof | A | Female | 8 | 1.09632e5 | 15094.6 |
| 6 | AssocProf | A | Male | 22 | 85048.9 | 10611.9 |
| 7 | AssocProf | B | Male | 32 | 1.01622e5 | 9607.89 |
| 8 | Prof | B | Male | 125 | 1.33518e5 | 26514.3 |
| 9 | Prof | A | Male | 123 | 1.20619e5 | 28504.9 |
| 10 | AssocProf | B | Female | 6 | 99435.7 | 14086.5 |
| 11 | AssocProf | A | Female | 4 | 72128.5 | 6402.72 |
| 12 | Prof | B | Female | 10 | 1.31836e5 | 17504.3 |
In [23]:
plot(SalariesFrame, x="Rank", y="Salary", Geom.boxplot)
Out[23]:
In [24]:
plot(SalariesFrame, x="Discipline", y="Salary", Geom.boxplot)
Out[24]:
In [25]:
plot(SalariesFrame, x="Sex", y="Salary", Geom.boxplot)
Out[25]:
In [26]:
hstack(
plot(SalariesFrame, x="Rank", y="Salary", Geom.boxplot),
plot(SalariesFrame, x="Discipline", y="Salary", Geom.boxplot),
plot(SalariesFrame, x="Sex", y="Salary", Geom.boxplot)
)
Out[26]:
In [27]:
plot(SalariesFrame, x="YrsSincePhD", y="Salary")
Out[27]:
In [28]:
plot(SalariesFrame, x="YrsService", y="Salary")
Out[28]:
In [29]:
plot(SalariesFrame, x="YrsSincePhD", y="Salary", color="Rank")
Out[29]:
In [30]:
plot(SalariesFrame, x="YrsService", y="Salary", color="Rank")
Out[30]:
In [31]:
plot(SalariesFrame, x="YrsSincePhD", y="Salary", color="Discipline")
Out[31]:
In [32]:
plot(SalariesFrame, x="YrsService", y="Salary", color="Discipline")
Out[32]:
In [33]:
plot(SalariesFrame, x="YrsSincePhD", y="Salary", color="Sex")
Out[33]:
In [34]:
plot(SalariesFrame, x="YrsService", y="Salary", color="Sex")
Out[34]:
In [35]:
plot(SalariesFrame, x="Salary", Geom.histogram(bincount=50, density=true))
Out[35]:
In [36]:
salaries = kde(SalariesFrame[:Salary])
plot(
x=salaries.x,
y=salaries.density,
Geom.line,
Guide.xlabel("Salary"),
Guide.ylabel(""),
Guide.title("Kernel density estimator")
)
Out[36]:
In [37]:
plot(SalariesFrame, x="Salary", color="Discipline", Geom.histogram(bincount=50, density=true))
Out[37]:
……(后面还有例子，就不列举了)
KevinZhang
Aug 31, 2018
