#Week2 Assignment Solution
library(tidyverse)
## Warning: package 'tidyverse' was built under R version 3.3.3
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## v ggplot2 3.0.0 v purrr 0.2.4
## v tibble 1.4.2 v dplyr 0.7.4
## v tidyr 0.8.0 v stringr 1.3.1
## v readr 1.1.1 v forcats 0.3.0
## Warning: package 'tibble' was built under R version 3.3.3
## Warning: package 'tidyr' was built under R version 3.3.3
## Warning: package 'readr' was built under R version 3.3.3
## Warning: package 'purrr' was built under R version 3.3.3
## Warning: package 'dplyr' was built under R version 3.3.3
## Warning: package 'forcats' was built under R version 3.3.3
## -- Conflicts ------------------------------------------------------------------------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
getwd()
## [1] "D:/1DSRJeffereyNiemanGH/RJefferyNiemanWeek2"
# set working directory
setwd ("D:/1DSRJeffereyNiemanGH/RJefferyNiemanWeek2")
getwd()
## [1] "D:/1DSRJeffereyNiemanGH/RJefferyNiemanWeek2"
# 1. Use the summary function to gain an overview of the data set. Then display the mean and median for at least two attributes
mydata = read_csv ("datasets.csv")
## Parsed with column specification:
## cols(
## Package = col_character(),
## Item = col_character(),
## Title = col_character(),
## Rows = col_integer(),
## Cols = col_integer(),
## has_logical = col_logical(),
## has_binary = col_logical(),
## has_numeric = col_logical(),
## has_character = col_logical(),
## CSV = col_character(),
## Doc = col_character()
## )
summary(mydata)
## Package Item Title
## Length:1162 Length:1162 Length:1162
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
## Rows Cols has_logical has_binary
## Min. : 0.0 Min. : 1.00 Mode :logical Mode :logical
## 1st Qu.: 30.0 1st Qu.: 3.00 FALSE:1152 FALSE:647
## Median : 91.0 Median : 5.00 TRUE :10 TRUE :515
## Mean : 1630.3 Mean : 16.31 NA's :0 NA's :0
## 3rd Qu.: 468.8 3rd Qu.: 9.00
## Max. :372864.0 Max. :6831.00
## has_numeric has_character CSV Doc
## Mode :logical Mode :logical Length:1162 Length:1162
## FALSE:297 FALSE:1109 Class :character Class :character
## TRUE :865 TRUE :53 Mode :character Mode :character
## NA's :0 NA's :0
##
##
str(mydata)
## Classes 'tbl_df', 'tbl' and 'data.frame': 1162 obs. of 11 variables:
## $ Package : chr "boot" "boot" "boot" "boot" ...
## $ Item : chr "acme" "aids" "aircondit" "aircondit7" ...
## $ Title : chr "Monthly Excess Returns" "Delay in AIDS Reporting in England and Wales" "Failures of Air-conditioning Equipment" "Failures of Air-conditioning Equipment" ...
## $ Rows : int 60 570 12 24 8437 23 100 49 823 10 ...
## $ Cols : int 3 6 1 1 4 3 4 2 3 5 ...
## $ has_logical : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ has_binary : logi FALSE TRUE FALSE FALSE TRUE TRUE ...
## $ has_numeric : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
## $ has_character: logi TRUE FALSE FALSE FALSE FALSE FALSE ...
## $ CSV : chr "https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/acme.csv" "https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aids.csv" "https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit.csv" "https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit7.csv" ...
## $ Doc : chr "https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/acme.html" "https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aids.html" "https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aircondit.html" "https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aircondit7.html" ...
## - attr(*, "spec")=List of 2
## ..$ cols :List of 11
## .. ..$ Package : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Item : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Title : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Rows : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ Cols : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ has_logical : list()
## .. .. ..- attr(*, "class")= chr "collector_logical" "collector"
## .. ..$ has_binary : list()
## .. .. ..- attr(*, "class")= chr "collector_logical" "collector"
## .. ..$ has_numeric : list()
## .. .. ..- attr(*, "class")= chr "collector_logical" "collector"
## .. ..$ has_character: list()
## .. .. ..- attr(*, "class")= chr "collector_logical" "collector"
## .. ..$ CSV : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Doc : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## ..$ default: list()
## .. ..- attr(*, "class")= chr "collector_guess" "collector"
## ..- attr(*, "class")= chr "col_spec"
mydata
## # A tibble: 1,162 x 11
## Package Item Title Rows Cols has_logical has_binary has_numeric
## <chr> <chr> <chr> <int> <int> <lgl> <lgl> <lgl>
## 1 boot acme Mont~ 60 3 FALSE FALSE TRUE
## 2 boot aids Dela~ 570 6 FALSE TRUE TRUE
## 3 boot airc~ Fail~ 12 1 FALSE FALSE TRUE
## 4 boot airc~ Fail~ 24 1 FALSE FALSE TRUE
## 5 boot amis Car ~ 8437 4 FALSE TRUE TRUE
## 6 boot aml Remi~ 23 3 FALSE TRUE TRUE
## 7 boot beav~ Beav~ 100 4 FALSE TRUE TRUE
## 8 boot bigc~ Popu~ 49 2 FALSE FALSE TRUE
## 9 boot bram~ Spat~ 823 3 FALSE FALSE TRUE
## 10 boot bres~ Smok~ 10 5 FALSE TRUE TRUE
## # ... with 1,152 more rows, and 3 more variables: has_character <lgl>,
## # CSV <chr>, Doc <chr>
D <- mydata
str(D)
## Classes 'tbl_df', 'tbl' and 'data.frame': 1162 obs. of 11 variables:
## $ Package : chr "boot" "boot" "boot" "boot" ...
## $ Item : chr "acme" "aids" "aircondit" "aircondit7" ...
## $ Title : chr "Monthly Excess Returns" "Delay in AIDS Reporting in England and Wales" "Failures of Air-conditioning Equipment" "Failures of Air-conditioning Equipment" ...
## $ Rows : int 60 570 12 24 8437 23 100 49 823 10 ...
## $ Cols : int 3 6 1 1 4 3 4 2 3 5 ...
## $ has_logical : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ has_binary : logi FALSE TRUE FALSE FALSE TRUE TRUE ...
## $ has_numeric : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
## $ has_character: logi TRUE FALSE FALSE FALSE FALSE FALSE ...
## $ CSV : chr "https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/acme.csv" "https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aids.csv" "https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit.csv" "https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit7.csv" ...
## $ Doc : chr "https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/acme.html" "https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aids.html" "https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aircondit.html" "https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/boot/aircondit7.html" ...
## - attr(*, "spec")=List of 2
## ..$ cols :List of 11
## .. ..$ Package : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Item : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Title : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Rows : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ Cols : list()
## .. .. ..- attr(*, "class")= chr "collector_integer" "collector"
## .. ..$ has_logical : list()
## .. .. ..- attr(*, "class")= chr "collector_logical" "collector"
## .. ..$ has_binary : list()
## .. .. ..- attr(*, "class")= chr "collector_logical" "collector"
## .. ..$ has_numeric : list()
## .. .. ..- attr(*, "class")= chr "collector_logical" "collector"
## .. ..$ has_character: list()
## .. .. ..- attr(*, "class")= chr "collector_logical" "collector"
## .. ..$ CSV : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## .. ..$ Doc : list()
## .. .. ..- attr(*, "class")= chr "collector_character" "collector"
## ..$ default: list()
## .. ..- attr(*, "class")= chr "collector_guess" "collector"
## ..- attr(*, "class")= chr "col_spec"
D %>% summarise((mean(Rows)))
## Warning: package 'bindrcpp' was built under R version 3.3.3
## # A tibble: 1 x 1
## `(mean(Rows))`
## <dbl>
## 1 1630.
D %>% summarise ((mean(Cols)))
## # A tibble: 1 x 1
## `(mean(Cols))`
## <dbl>
## 1 16.3
D %>% summarise ((median(Rows)))
## # A tibble: 1 x 1
## `(median(Rows))`
## <dbl>
## 1 91
D %>% summarise ((median(Cols)))
## # A tibble: 1 x 1
## `(median(Cols))`
## <dbl>
## 1 5
#2. Create a new data frame with a subset of the columns and rows. Make sure to rename it.
# 3. Create new column names for the new data frame.
dfgh <- data.frame(D)
dfgh
## Package Item
## 1 boot acme
## 2 boot aids
## 3 boot aircondit
## 4 boot aircondit7
## 5 boot amis
## 6 boot aml
## 7 boot beaver
## 8 boot bigcity
## 9 boot brambles
## 10 boot breslow
## 11 boot calcium
## 12 boot cane
## 13 boot capability
## 14 boot catsM
## 15 boot cav
## 16 boot cd4
## 17 boot cd4.nested
## 18 boot channing
## 19 boot city
## 20 boot claridge
## 21 boot cloth
## 22 boot co.transfer
## 23 boot coal
## 24 boot darwin
## 25 boot dogs
## 26 boot downs.bc
## 27 boot ducks
## 28 boot fir
## 29 boot frets
## 30 boot grav
## 31 boot gravity
## 32 boot hirose
## 33 boot islay
## 34 boot manaus
## 35 boot melanoma
## 36 boot motor
## 37 boot neuro
## 38 boot nitrofen
## 39 boot nodal
## 40 boot nuclear
## 41 boot paulsen
## 42 boot poisons
## 43 boot polar
## 44 boot remission
## 45 boot salinity
## 46 boot survival
## 47 boot tau
## 48 boot tuna
## 49 boot urine
## 50 boot wool
## 51 carData Adler
## 52 carData AMSsurvey
## 53 carData Angell
## 54 carData Anscombe
## 55 carData Arrests
## 56 carData Baumann
## 57 carData BEPS
## 58 carData Bfox
## 59 carData Blackmore
## 60 carData Burt
## 61 carData CanPop
## 62 carData Chile
## 63 carData Chirot
## 64 carData Cowles
## 65 carData Davis
## 66 carData DavisThin
## 67 carData Depredations
## 68 carData Duncan
## 69 carData Ericksen
## 70 carData Florida
## 71 carData Freedman
## 72 carData Friendly
## 73 carData Ginzberg
## 74 carData Greene
## 75 carData GSSvocab
## 76 carData Guyer
## 77 carData Hartnagel
## 78 carData Highway1
## 79 carData KosteckiDillon
## 80 carData Leinhardt
## 81 carData LoBD
## 82 carData Mandel
## 83 carData Migration
## 84 carData Moore
## 85 carData MplsDemo
## 86 carData MplsStops
## 87 carData Mroz
## 88 carData OBrienKaiser
## 89 carData Ornstein
## 90 carData Pottery
## 91 carData Prestige
## 92 carData Quartet
## 93 carData Robey
## 94 carData Sahlins
## 95 carData Salaries
## 96 carData SLID
## 97 carData Soils
## 98 carData States
## 99 carData TitanicSurvival
## 100 carData Transact
## 101 carData UN
## 102 carData USPop
## 103 carData Vocab
## 104 carData WeightLoss
## 105 carData Wells
## 106 carData Womenlf
## 107 carData Wong
## 108 carData Wool
## 109 carData WVS
## 110 cluster agriculture
## 111 cluster animals
## 112 cluster chorSub
## 113 cluster flower
## 114 cluster plantTraits
## 115 cluster pluton
## 116 cluster ruspini
## 117 cluster votes.repub
## 118 cluster xclara
## 119 COUNT affairs
## 120 COUNT azcabgptca
## 121 COUNT azdrg112
## 122 COUNT azpro
## 123 COUNT azprocedure
## 124 COUNT badhealth
## 125 COUNT fasttrakg
## 126 COUNT fishing
## 127 COUNT lbw
## 128 COUNT lbwgrp
## 129 COUNT loomis
## 130 COUNT mdvis
## 131 COUNT medpar
## 132 COUNT nuts
## 133 COUNT rwm
## 134 COUNT rwm1984
## 135 COUNT rwm5yr
## 136 COUNT ships
## 137 COUNT smoking
## 138 COUNT titanic
## 139 COUNT titanicgrp
## 140 DAAG ACF1
## 141 DAAG ais
## 142 DAAG allbacks
## 143 DAAG anesthetic
## 144 DAAG ant111b
## 145 DAAG antigua
## 146 DAAG appletaste
## 147 DAAG aulatlong
## 148 DAAG austpop
## 149 DAAG biomass
## 150 DAAG bomregions
## 151 DAAG bomregions2011
## 152 DAAG bomregions2012
## 153 DAAG bomsoi
## 154 DAAG bomsoi2001
## 155 DAAG bostonc
## 156 DAAG carprice
## 157 DAAG Cars93.summary
## 158 DAAG cerealsugar
## 159 DAAG cfseal
## 160 DAAG cities
## 161 DAAG codling
## 162 DAAG cottonworkers
## 163 DAAG cps1
## 164 DAAG cps2
## 165 DAAG cps3
## 166 DAAG cricketer
## 167 DAAG cuckoohosts
## 168 DAAG cuckoos
## 169 DAAG dengue
## 170 DAAG dewpoint
## 171 DAAG droughts
## 172 DAAG edcCO2
## 173 DAAG edcT
## 174 DAAG elastic1
## 175 DAAG elastic2
## 176 DAAG elasticband
## 177 DAAG fossilfuel
## 178 DAAG fossum
## 179 DAAG frogs
## 180 DAAG frostedflakes
## 181 DAAG fruitohms
## 182 DAAG gaba
## 183 DAAG geophones
## 184 DAAG greatLakes
## 185 DAAG grog
## 186 DAAG head.injury
## 187 DAAG headInjury
## 188 DAAG hills
## 189 DAAG hills2000
## 190 DAAG hotspots
## 191 DAAG hotspots2006
## 192 DAAG houseprices
## 193 DAAG humanpower1
## 194 DAAG humanpower2
## 195 DAAG hurricNamed
## 196 DAAG intersalt
## 197 DAAG ironslag
## 198 DAAG jobs
## 199 DAAG kiwishade
## 200 DAAG leafshape
## 201 DAAG leafshape17
## 202 DAAG leaftemp
## 203 DAAG leaftemp.all
## 204 DAAG litters
## 205 DAAG Lottario
## 206 DAAG lung
## 207 DAAG Manitoba.lakes
## 208 DAAG measles
## 209 DAAG medExpenses
## 210 DAAG mifem
## 211 DAAG mignonette
## 212 DAAG milk
## 213 DAAG modelcars
## 214 DAAG monica
## 215 DAAG moths
## 216 DAAG nassCDS
## 217 DAAG nasshead
## 218 DAAG nihills
## 219 DAAG nsw74demo
## 220 DAAG nsw74psid1
## 221 DAAG nsw74psid3
## 222 DAAG nsw74psidA
## 223 DAAG nswdemo
## 224 DAAG nswpsid1
## 225 DAAG oddbooks
## 226 DAAG orings
## 227 DAAG ozone
## 228 DAAG pair65
## 229 DAAG possum
## 230 DAAG possumsites
## 231 DAAG poxetc
## 232 DAAG primates
## 233 DAAG progression
## 234 DAAG psid1
## 235 DAAG psid2
## 236 DAAG psid3
## 237 DAAG races2000
## 238 DAAG rainforest
## 239 DAAG rareplants
## 240 DAAG rice
## 241 DAAG rockArt
## 242 DAAG roller
## 243 DAAG science
## 244 DAAG seedrates
## 245 DAAG socsupport
## 246 DAAG softbacks
## 247 DAAG sorption
## 248 DAAG SP500close
## 249 DAAG SP500W90
## 250 DAAG spam7
## 251 DAAG stVincent
## 252 DAAG sugar
## 253 DAAG tinting
## 254 DAAG tomato
## 255 DAAG toycars
## 256 DAAG vince111b
## 257 DAAG vlt
## 258 DAAG wages1833
## 259 DAAG whoops
## 260 DAAG worldRecords
## 261 datasets ability.cov
## 262 datasets airmiles
## 263 datasets AirPassengers
## 264 datasets airquality
## 265 datasets anscombe
## 266 datasets attenu
## 267 datasets attitude
## 268 datasets austres
## 269 datasets BJsales
## 270 datasets BOD
## 271 datasets cars
## 272 datasets ChickWeight
## 273 datasets chickwts
## 274 datasets co2
## 275 datasets CO2
## 276 datasets crimtab
## 277 datasets discoveries
## 278 datasets DNase
## 279 datasets esoph
## 280 datasets euro
## 281 datasets EuStockMarkets
## 282 datasets faithful
## 283 datasets Formaldehyde
## 284 datasets freeny
## 285 datasets HairEyeColor
## 286 datasets Harman23.cor
## 287 datasets Harman74.cor
## 288 datasets Indometh
## 289 datasets infert
## 290 datasets InsectSprays
## 291 datasets iris
## 292 datasets iris3
## 293 datasets islands
## 294 datasets JohnsonJohnson
## 295 datasets LakeHuron
## 296 datasets lh
## 297 datasets LifeCycleSavings
## 298 datasets Loblolly
## 299 datasets longley
## 300 datasets lynx
## 301 datasets morley
## 302 datasets mtcars
## 303 datasets nhtemp
## 304 datasets Nile
## 305 datasets nottem
## 306 datasets npk
## 307 datasets occupationalStatus
## 308 datasets Orange
## 309 datasets OrchardSprays
## 310 datasets PlantGrowth
## 311 datasets precip
## 312 datasets presidents
## 313 datasets pressure
## 314 datasets Puromycin
## 315 datasets quakes
## 316 datasets randu
## 317 datasets rivers
## 318 datasets rock
## 319 datasets Seatbelts
## 320 datasets sleep
## 321 datasets stackloss
## 322 datasets sunspot.month
## 323 datasets sunspot.year
## 324 datasets sunspots
## 325 datasets swiss
## 326 datasets Theoph
## 327 datasets Titanic
## 328 datasets ToothGrowth
## 329 datasets treering
## 330 datasets trees
## 331 datasets UCBAdmissions
## 332 datasets UKDriverDeaths
## 333 datasets UKgas
## 334 datasets USAccDeaths
## 335 datasets USArrests
## 336 datasets USJudgeRatings
## 337 datasets USPersonalExpenditure
## 338 datasets uspop
## 339 datasets VADeaths
## 340 datasets volcano
## 341 datasets warpbreaks
## 342 datasets women
## 343 datasets WorldPhones
## 344 datasets WWWusage
## 345 Ecdat Accident
## 346 Ecdat Airline
## 347 Ecdat Airq
## 348 Ecdat bankingCrises
## 349 Ecdat Benefits
## 350 Ecdat Bids
## 351 Ecdat breaches
## 352 Ecdat BudgetFood
## 353 Ecdat BudgetItaly
## 354 Ecdat BudgetUK
## 355 Ecdat Bwages
## 356 Ecdat Capm
## 357 Ecdat Car
## 358 Ecdat Caschool
## 359 Ecdat Catsup
## 360 Ecdat Cigar
## 361 Ecdat Cigarette
## 362 Ecdat Clothing
## 363 Ecdat Computers
## 364 Ecdat Consumption
## 365 Ecdat CPSch3
## 366 Ecdat Cracker
## 367 Ecdat CRANpackages
## 368 Ecdat Crime
## 369 Ecdat CRSPday
## 370 Ecdat CRSPmon
## 371 Ecdat Diamond
## 372 Ecdat DM
## 373 Ecdat Doctor
## 374 Ecdat DoctorAUS
## 375 Ecdat DoctorContacts
## 376 Ecdat Earnings
## 377 Ecdat Electricity
## 378 Ecdat Fair
## 379 Ecdat Fatality
## 380 Ecdat Fishing
## 381 Ecdat Forward
## 382 Ecdat FriendFoe
## 383 Ecdat Garch
## 384 Ecdat Gasoline
## 385 Ecdat Griliches
## 386 Ecdat Grunfeld
## 387 Ecdat HC
## 388 Ecdat Hdma
## 389 Ecdat Heating
## 390 Ecdat Hedonic
## 391 Ecdat HHSCyberSecurityBreaches
## 392 Ecdat HI
## 393 Ecdat Hmda
## 394 Ecdat Housing
## 395 Ecdat Hstarts
## 396 Ecdat Icecream
## 397 Ecdat incidents.byCountryYr
## 398 Ecdat incomeInequality
## 399 Ecdat IncomeUK
## 400 Ecdat Irates
## 401 Ecdat Journals
## 402 Ecdat Kakadu
## 403 Ecdat Ketchup
## 404 Ecdat Klein
## 405 Ecdat LaborSupply
## 406 Ecdat Labour
## 407 Ecdat Longley
## 408 Ecdat LT
## 409 Ecdat Macrodat
## 410 Ecdat Males
## 411 Ecdat ManufCost
## 412 Ecdat Mathlevel
## 413 Ecdat MCAS
## 414 Ecdat MedExp
## 415 Ecdat Metal
## 416 Ecdat Mishkin
## 417 Ecdat Mode
## 418 Ecdat ModeChoice
## 419 Ecdat Mofa
## 420 Ecdat Money
## 421 Ecdat MoneyUS
## 422 Ecdat Mpyr
## 423 Ecdat Mroz
## 424 Ecdat MunExp
## 425 Ecdat MW
## 426 Ecdat NaturalPark
## 427 Ecdat Nerlove
## 428 Ecdat nkill.byCountryYr
## 429 Ecdat nonEnglishNames
## 430 Ecdat OFP
## 431 Ecdat Oil
## 432 Ecdat Orange
## 433 Ecdat Participation
## 434 Ecdat PatentsHGH
## 435 Ecdat PatentsRD
## 436 Ecdat PE
## 437 Ecdat politicalKnowledge
## 438 Ecdat Pound
## 439 Ecdat PPP
## 440 Ecdat Pricing
## 441 Ecdat Produc
## 442 Ecdat PSID
## 443 Ecdat RetSchool
## 444 Ecdat Schooling
## 445 Ecdat Solow
## 446 Ecdat Somerville
## 447 Ecdat SP500
## 448 Ecdat Star
## 449 Ecdat Strike
## 450 Ecdat StrikeDur
## 451 Ecdat StrikeNb
## 452 Ecdat SumHes
## 453 Ecdat Tbrate
## 454 Ecdat terrorism
## 455 Ecdat Tobacco
## 456 Ecdat Train
## 457 Ecdat TranspEq
## 458 Ecdat Treatment
## 459 Ecdat Tuna
## 460 Ecdat UnempDur
## 461 Ecdat Unemployment
## 462 Ecdat University
## 463 Ecdat USclassifiedDocuments
## 464 Ecdat USFinanceIndustry
## 465 Ecdat USGDPpresidents
## 466 Ecdat USstateAbbreviations
## 467 Ecdat UStaxWords
## 468 Ecdat VietNamH
## 469 Ecdat VietNamI
## 470 Ecdat Wages
## 471 Ecdat Wages1
## 472 Ecdat Workinghours
## 473 Ecdat Yen
## 474 Ecdat Yogurt
## 475 evir bmw
## 476 evir danish
## 477 evir nidd.annual
## 478 evir nidd.thresh
## 479 evir siemens
## 480 evir sp.raw
## 481 evir spto87
## 482 gamclass airAccs
## 483 gamclass cvalues
## 484 gamclass FARS
## 485 gamclass fars2007
## 486 gamclass fars2008
## 487 gamclass FARSmiss
## 488 gamclass german
## 489 gamclass loti
## 490 gap aldh2
## 491 gap apoeapoc
## 492 gap cf
## 493 gap crohn
## 494 gap fa
## 495 gap fsnps
## 496 gap hla
## 497 gap l51
## 498 gap lukas
## 499 gap mao
## 500 gap meyer
## 501 gap mfblong
## 502 gap nep499
## 503 gap PD
## 504 geepack dietox
## 505 geepack koch
## 506 geepack ohio
## 507 geepack respdis
## 508 geepack respiratory
## 509 geepack seizure
## 510 geepack sitka89
## 511 geepack spruce
## 512 ggplot2 diamonds
## 513 ggplot2 economics
## 514 ggplot2 economics_long
## 515 ggplot2 faithfuld
## 516 ggplot2 luv_colours
## 517 ggplot2 midwest
## 518 ggplot2 mpg
## 519 ggplot2 msleep
## 520 ggplot2 presidential
## 521 ggplot2 seals
## 522 ggplot2 txhousing
## 523 HistData Arbuthnot
## 524 HistData Armada
## 525 HistData Bowley
## 526 HistData Cavendish
## 527 HistData ChestSizes
## 528 HistData Cholera
## 529 HistData CushnyPeebles
## 530 HistData CushnyPeeblesN
## 531 HistData Dactyl
## 532 HistData DrinksWages
## 533 HistData Fingerprints
## 534 HistData Galton
## 535 HistData GaltonFamilies
## 536 HistData Guerry
## 537 HistData HalleyLifeTable
## 538 HistData Jevons
## 539 HistData Langren.all
## 540 HistData Langren1644
## 541 HistData Macdonell
## 542 HistData MacdonellDF
## 543 HistData Michelson
## 544 HistData MichelsonSets
## 545 HistData Minard.cities
## 546 HistData Minard.temp
## 547 HistData Minard.troops
## 548 HistData Nightingale
## 549 HistData OldMaps
## 550 HistData PearsonLee
## 551 HistData PolioTrials
## 552 HistData Prostitutes
## 553 HistData Pyx
## 554 HistData Quarrels
## 555 HistData Snow.dates
## 556 HistData Snow.deaths
## 557 HistData Snow.deaths2
## 558 HistData Snow.pumps
## 559 HistData Snow.streets
## 560 HistData Virginis
## 561 HistData Virginis.interp
## 562 HistData Wheat
## 563 HistData Wheat.monarchs
## 564 HistData Yeast
## 565 HistData YeastD.mat
## 566 HistData ZeaMays
## 567 HSAUR agefat
## 568 HSAUR aspirin
## 569 HSAUR BCG
## 570 HSAUR birthdeathrates
## 571 HSAUR bladdercancer
## 572 HSAUR BtheB
## 573 HSAUR clouds
## 574 HSAUR CYGOB1
## 575 HSAUR epilepsy
## 576 HSAUR Forbes2000
## 577 HSAUR foster
## 578 HSAUR GHQ
## 579 HSAUR heptathlon
## 580 HSAUR Lanza
## 581 HSAUR mastectomy
## 582 HSAUR meteo
## 583 HSAUR orallesions
## 584 HSAUR phosphate
## 585 HSAUR pistonrings
## 586 HSAUR planets
## 587 HSAUR plasma
## 588 HSAUR polyps
## 589 HSAUR polyps3
## 590 HSAUR pottery
## 591 HSAUR rearrests
## 592 HSAUR respiratory
## 593 HSAUR roomwidth
## 594 HSAUR schizophrenia
## 595 HSAUR schizophrenia2
## 596 HSAUR schooldays
## 597 HSAUR skulls
## 598 HSAUR smoking
## 599 HSAUR students
## 600 HSAUR suicides
## 601 HSAUR toothpaste
## 602 HSAUR voting
## 603 HSAUR water
## 604 HSAUR watervoles
## 605 HSAUR waves
## 606 HSAUR weightgain
## 607 HSAUR womensrole
## 608 hwde IndianIrish
## 609 hwde mendelABC
## 610 ISLR Auto
## 611 ISLR Caravan
## 612 ISLR Carseats
## 613 ISLR College
## 614 ISLR Credit
## 615 ISLR Default
## 616 ISLR Hitters
## 617 ISLR NCI60
## 618 ISLR OJ
## 619 ISLR Portfolio
## 620 ISLR Smarket
## 621 ISLR Wage
## 622 ISLR Weekly
## 623 KMsurv aids
## 624 KMsurv alloauto
## 625 KMsurv allograft
## 626 KMsurv azt
## 627 KMsurv baboon
## 628 KMsurv bcdeter
## 629 KMsurv bfeed
## 630 KMsurv bmt
## 631 KMsurv bnct
## 632 KMsurv btrial
## 633 KMsurv burn
## 634 KMsurv channing
## 635 KMsurv drug6mp
## 636 KMsurv drughiv
## 637 KMsurv hodg
## 638 KMsurv kidney
## 639 KMsurv kidrecurr
## 640 KMsurv kidtran
## 641 KMsurv larynx
## 642 KMsurv lung
## 643 KMsurv pneumon
## 644 KMsurv psych
## 645 KMsurv rats
## 646 KMsurv std
## 647 KMsurv stddiag
## 648 KMsurv tongue
## 649 KMsurv twins
## 650 lattice barley
## 651 lattice environmental
## 652 lattice ethanol
## 653 lattice melanoma
## 654 lattice singer
## 655 lattice USMortality
## 656 lattice USRegionalMortality
## 657 lme4 Arabidopsis
## 658 lme4 cake
## 659 lme4 cbpp
## 660 lme4 Dyestuff
## 661 lme4 Dyestuff2
## 662 lme4 grouseticks
## 663 lme4 InstEval
## 664 lme4 Pastes
## 665 lme4 Penicillin
## 666 lme4 sleepstudy
## 667 lme4 VerbAgg
## 668 lmec UTIdata
## 669 MASS abbey
## 670 MASS accdeaths
## 671 MASS Aids2
## 672 MASS Animals
## 673 MASS anorexia
## 674 MASS bacteria
## 675 MASS beav1
## 676 MASS beav2
## 677 MASS biopsy
## 678 MASS birthwt
## 679 MASS Boston
## 680 MASS cabbages
## 681 MASS caith
## 682 MASS Cars93
## 683 MASS cats
## 684 MASS cement
## 685 MASS chem
## 686 MASS coop
## 687 MASS cpus
## 688 MASS crabs
## 689 MASS Cushings
## 690 MASS DDT
## 691 MASS deaths
## 692 MASS drivers
## 693 MASS eagles
## 694 MASS epil
## 695 MASS farms
## 696 MASS fgl
## 697 MASS forbes
## 698 MASS GAGurine
## 699 MASS galaxies
## 700 MASS gehan
## 701 MASS genotype
## 702 MASS geyser
## 703 MASS gilgais
## 704 MASS hills
## 705 MASS housing
## 706 MASS immer
## 707 MASS Insurance
## 708 MASS leuk
## 709 MASS mammals
## 710 MASS mcycle
## 711 MASS Melanoma
## 712 MASS menarche
## 713 MASS michelson
## 714 MASS minn38
## 715 MASS motors
## 716 MASS muscle
## 717 MASS newcomb
## 718 MASS nlschools
## 719 MASS npk
## 720 MASS npr1
## 721 MASS oats
## 722 MASS OME
## 723 MASS painters
## 724 MASS petrol
## 725 MASS phones
## 726 MASS Pima.te
## 727 MASS Pima.tr
## 728 MASS Pima.tr2
## 729 MASS quine
## 730 MASS Rabbit
## 731 MASS road
## 732 MASS rotifer
## 733 MASS Rubber
## 734 MASS ships
## 735 MASS shoes
## 736 MASS shrimp
## 737 MASS shuttle
## 738 MASS Sitka
## 739 MASS Sitka89
## 740 MASS Skye
## 741 MASS snails
## 742 MASS SP500
## 743 MASS steam
## 744 MASS stormer
## 745 MASS survey
## 746 MASS synth.te
## 747 MASS synth.tr
## 748 MASS topo
## 749 MASS Traffic
## 750 MASS UScereal
## 751 MASS UScrime
## 752 MASS VA
## 753 MASS waders
## 754 MASS whiteside
## 755 MASS wtloss
## 756 mediation boundsdata
## 757 mediation CEDdata
## 758 mediation framing
## 759 mediation jobs
## 760 mediation school
## 761 mediation student
## 762 mi CHAIN
## 763 mi nlsyV
## 764 mosaicData Alcohol
## 765 mosaicData Birthdays
## 766 mosaicData Births
## 767 mosaicData Births2015
## 768 mosaicData Births78
## 769 mosaicData Cards
## 770 mosaicData CoolingWater
## 771 mosaicData Countries
## 772 mosaicData CPS85
## 773 mosaicData Dimes
## 774 mosaicData Galton
## 775 mosaicData Gestation
## 776 mosaicData GoosePermits
## 777 mosaicData HeatX
## 778 mosaicData HELPfull
## 779 mosaicData HELPmiss
## 780 mosaicData HELPrct
## 781 mosaicData KidsFeet
## 782 mosaicData Marriage
## 783 mosaicData Mites
## 784 mosaicData RailTrail
## 785 mosaicData Riders
## 786 mosaicData SaratogaHouses
## 787 mosaicData SAT
## 788 mosaicData SnowGR
## 789 mosaicData SwimRecords
## 790 mosaicData TenMileRace
## 791 mosaicData Utilities
## 792 mosaicData Utilities2
## 793 mosaicData Weather
## 794 mosaicData Whickham
## 795 multgee arthritis
## 796 multgee housing
## 797 plm Cigar
## 798 plm Crime
## 799 plm EmplUK
## 800 plm Gasoline
## 801 plm Grunfeld
## 802 plm Hedonic
## 803 plm LaborSupply
## 804 plm Males
## 805 plm Parity
## 806 plm Produc
## 807 plm RiceFarms
## 808 plm Snmesp
## 809 plm SumHes
## 810 plm Wages
## 811 plyr baseball
## 812 plyr ozone
## 813 pscl absentee
## 814 pscl admit
## 815 pscl AustralianElectionPolling
## 816 pscl AustralianElections
## 817 pscl bioChemists
## 818 pscl ca2006
## 819 pscl EfronMorris
## 820 pscl iraqVote
## 821 pscl partycodes
## 822 pscl politicalInformation
## 823 pscl presidentialElections
## 824 pscl prussian
## 825 pscl RockTheVote
## 826 pscl state.info
## 827 pscl UKHouseOfCommons
## 828 pscl unionDensity
## 829 pscl vote92
## 830 psych ability
## 831 psych affect
## 832 psych Bechtoldt
## 833 psych Bechtoldt.1
## 834 psych Bechtoldt.2
## 835 psych bfi
## 836 psych bfi.dictionary
## 837 psych blant
## 838 psych blot
## 839 psych burt
## 840 psych cattell
## 841 psych cities
## 842 psych cubits
## 843 psych cushny
## 844 psych Dwyer
## 845 psych epi
## 846 psych epi.bfi
## 847 psych epi.dictionary
## 848 psych epiR
## 849 psych galton
## 850 psych Gleser
## 851 psych Gorsuch
## 852 psych Harman.5
## 853 psych Harman.8
## 854 psych Harman.political
## 855 psych heights
## 856 psych Holzinger
## 857 psych Holzinger.9
## 858 psych income
## 859 psych iqitems
## 860 psych msq
## 861 psych msqR
## 862 psych neo
## 863 psych peas
## 864 psych Reise
## 865 psych sai
## 866 psych sai.dictionary
## 867 psych sat.act
## 868 psych Schmid
## 869 psych Schutz
## 870 psych spi
## 871 psych spi.dictionary
## 872 psych tai
## 873 psych Tal_Or
## 874 psych Thurstone
## 875 psych Thurstone.33
## 876 psych Thurstone.9
## 877 psych Tucker
## 878 psych withinBetween
## 879 quantreg barro
## 880 quantreg Bosco
## 881 quantreg CobarOre
## 882 quantreg engel
## 883 quantreg gasprice
## 884 quantreg Mammals
## 885 quantreg uis
## 886 reshape2 french_fries
## 887 reshape2 smiths
## 888 reshape2 tips
## 889 robustbase aircraft
## 890 robustbase airmay
## 891 robustbase alcohol
## 892 robustbase ambientNOxCH
## 893 robustbase Animals2
## 894 robustbase biomassTill
## 895 robustbase bushfire
## 896 robustbase carrots
## 897 robustbase cloud
## 898 robustbase coleman
## 899 robustbase condroz
## 900 robustbase CrohnD
## 901 robustbase cushny
## 902 robustbase delivery
## 903 robustbase education
## 904 robustbase epilepsy
## 905 robustbase exAM
## 906 robustbase foodstamp
## 907 robustbase hbk
## 908 robustbase heart
## 909 robustbase kootenay
## 910 robustbase lactic
## 911 robustbase los
## 912 robustbase milk
## 913 robustbase NOxEmissions
## 914 robustbase pension
## 915 robustbase phosphor
## 916 robustbase pilot
## 917 robustbase possumDiv
## 918 robustbase pulpfiber
## 919 robustbase radarImage
## 920 robustbase salinity
## 921 robustbase SiegelsEx
## 922 robustbase starsCYG
## 923 robustbase telef
## 924 robustbase toxicity
## 925 robustbase vaso
## 926 robustbase wagnerGrowth
## 927 robustbase wood
## 928 rpart car.test.frame
## 929 rpart car90
## 930 rpart cu.summary
## 931 rpart kyphosis
## 932 rpart solder
## 933 rpart stagec
## 934 sandwich InstInnovation
## 935 sandwich Investment
## 936 sandwich PetersenCL
## 937 sandwich PublicSchools
## 938 sem Bollen
## 939 sem CNES
## 940 sem Klein
## 941 sem Kmenta
## 942 sem Tests
## 943 Stat2Data Alfalfa
## 944 Stat2Data ArcheryData
## 945 Stat2Data AutoPollution
## 946 Stat2Data Backpack
## 947 Stat2Data BaseballTimes
## 948 Stat2Data BeeStings
## 949 Stat2Data BirdNest
## 950 Stat2Data Blood1
## 951 Stat2Data BlueJays
## 952 Stat2Data BritishUnions
## 953 Stat2Data CAFE
## 954 Stat2Data CalciumBP
## 955 Stat2Data CancerSurvival
## 956 Stat2Data Caterpillars
## 957 Stat2Data Cereal
## 958 Stat2Data ChemoTHC
## 959 Stat2Data ChildSpeaks
## 960 Stat2Data Clothing
## 961 Stat2Data CloudSeeding
## 962 Stat2Data CloudSeeding2
## 963 Stat2Data CO2
## 964 Stat2Data CrackerFiber
## 965 Stat2Data Cuckoo
## 966 Stat2Data Day1Survey
## 967 Stat2Data Diamonds
## 968 Stat2Data Diamonds2
## 969 Stat2Data Election08
## 970 Stat2Data Ethanol
## 971 Stat2Data FantasyBaseball
## 972 Stat2Data Fertility
## 973 Stat2Data FGByDistance
## 974 Stat2Data Film
## 975 Stat2Data FinalFourIzzo
## 976 Stat2Data FinalFourLong
## 977 Stat2Data FinalFourShort
## 978 Stat2Data Fingers
## 979 Stat2Data FirstYearGPA
## 980 Stat2Data FishEggs
## 981 Stat2Data FlightResponse
## 982 Stat2Data Fluorescence
## 983 Stat2Data FruitFlies
## 984 Stat2Data Goldenrod
## 985 Stat2Data Grocery
## 986 Stat2Data Gunnels
## 987 Stat2Data Hawks
## 988 Stat2Data HawkTail
## 989 Stat2Data HawkTail2
## 990 Stat2Data HearingTest
## 991 Stat2Data HighPeaks
## 992 Stat2Data Hoops
## 993 Stat2Data HorsePrices
## 994 Stat2Data Houses
## 995 Stat2Data ICU
## 996 Stat2Data InfantMortality
## 997 Stat2Data InsuranceVote
## 998 Stat2Data Jurors
## 999 Stat2Data Kids198
## 1000 Stat2Data LeafHoppers
## 1001 Stat2Data Leukemia
## 1002 Stat2Data LongJumpOlympics
## 1003 Stat2Data LostLetter
## 1004 Stat2Data Marathon
## 1005 Stat2Data Markets
## 1006 Stat2Data MathEnrollment
## 1007 Stat2Data MathPlacement
## 1008 Stat2Data MedGPA
## 1009 Stat2Data MentalHealth
## 1010 Stat2Data MetabolicRate
## 1011 Stat2Data MetroHealth83
## 1012 Stat2Data Milgram
## 1013 Stat2Data MLB2007Standings
## 1014 Stat2Data MothEggs
## 1015 Stat2Data NCbirths
## 1016 Stat2Data NFL2007Standings
## 1017 Stat2Data Nursing
## 1018 Stat2Data Olives
## 1019 Stat2Data Orings
## 1020 Stat2Data Overdrawn
## 1021 Stat2Data PalmBeach
## 1022 Stat2Data Pedometer
## 1023 Stat2Data Perch
## 1024 Stat2Data PigFeed
## 1025 Stat2Data Pines
## 1026 Stat2Data Political
## 1027 Stat2Data Pollster08
## 1028 Stat2Data Popcorn
## 1029 Stat2Data PorscheJaguar
## 1030 Stat2Data PorschePrice
## 1031 Stat2Data Pulse
## 1032 Stat2Data Putts1
## 1033 Stat2Data Putts2
## 1034 Stat2Data ReligionGDP
## 1035 Stat2Data Retirement
## 1036 Stat2Data RiverElements
## 1037 Stat2Data RiverIron
## 1038 Stat2Data SampleFG
## 1039 Stat2Data SandwichAnts
## 1040 Stat2Data SATGPA
## 1041 Stat2Data SeaSlugs
## 1042 Stat2Data Sparrows
## 1043 Stat2Data SpeciesArea
## 1044 Stat2Data Speed
## 1045 Stat2Data Swahili
## 1046 Stat2Data TextPrices
## 1047 Stat2Data ThreeCars
## 1048 Stat2Data TipJoke
## 1049 Stat2Data Titanic
## 1050 Stat2Data TMS
## 1051 Stat2Data TomlinsonRush
## 1052 Stat2Data TwinsLungs
## 1053 Stat2Data USstamps
## 1054 Stat2Data Volts
## 1055 Stat2Data WalkingBabies
## 1056 Stat2Data WeightLossIncentive
## 1057 Stat2Data WeightLossIncentive4
## 1058 Stat2Data WeightLossIncentive7
## 1059 Stat2Data WordMemory
## 1060 Stat2Data YouthRisk2007
## 1061 Stat2Data YouthRisk2009
## 1062 survival bladder
## 1063 survival cancer
## 1064 survival cgd
## 1065 survival colon
## 1066 survival flchain
## 1067 survival genfan
## 1068 survival heart
## 1069 survival kidney
## 1070 survival leukemia
## 1071 survival logan
## 1072 survival lung
## 1073 survival mgus
## 1074 survival mgus2
## 1075 survival myeloid
## 1076 survival nwtco
## 1077 survival ovarian
## 1078 survival pbc
## 1079 survival rats
## 1080 survival retinopathy
## 1081 survival rhDNase
## 1082 survival stanford2
## 1083 survival tobin
## 1084 survival transplant
## 1085 survival uspop2
## 1086 survival veteran
## 1087 texmex liver
## 1088 texmex nidd
## 1089 texmex portpirie
## 1090 texmex rain
## 1091 texmex summer
## 1092 texmex wavesurge
## 1093 texmex winter
## 1094 vcd Arthritis
## 1095 vcd Baseball
## 1096 vcd BrokenMarriage
## 1097 vcd Bundesliga
## 1098 vcd Bundestag2005
## 1099 vcd Butterfly
## 1100 vcd CoalMiners
## 1101 vcd DanishWelfare
## 1102 vcd Employment
## 1103 vcd Federalist
## 1104 vcd Hitters
## 1105 vcd HorseKicks
## 1106 vcd Hospital
## 1107 vcd JobSatisfaction
## 1108 vcd JointSports
## 1109 vcd Lifeboats
## 1110 vcd MSPatients
## 1111 vcd NonResponse
## 1112 vcd OvaryCancer
## 1113 vcd PreSex
## 1114 vcd Punishment
## 1115 vcd RepVict
## 1116 vcd Rochdale
## 1117 vcd Saxony
## 1118 vcd SexualFun
## 1119 vcd SpaceShuttle
## 1120 vcd Suicide
## 1121 vcd Trucks
## 1122 vcd UKSoccer
## 1123 vcd VisualAcuity
## 1124 vcd VonBort
## 1125 vcd WeldonDice
## 1126 vcd WomenQueue
## 1127 Zelig approval
## 1128 Zelig bivariate
## 1129 Zelig CigarettesSW
## 1130 Zelig coalition
## 1131 Zelig coalition2
## 1132 Zelig eidat
## 1133 Zelig free1
## 1134 Zelig free2
## 1135 Zelig friendship
## 1136 Zelig grunfeld
## 1137 Zelig hoff
## 1138 Zelig homerun
## 1139 Zelig immi1
## 1140 Zelig immi2
## 1141 Zelig immi3
## 1142 Zelig immi4
## 1143 Zelig immi5
## 1144 Zelig immigration
## 1145 Zelig klein
## 1146 Zelig kmenta
## 1147 Zelig macro
## 1148 Zelig MatchIt.url
## 1149 Zelig mexico
## 1150 Zelig mid
## 1151 Zelig newpainters
## 1152 Zelig PErisk
## 1153 Zelig sanction
## 1154 Zelig seatshare
## 1155 Zelig sna.ex
## 1156 Zelig SupremeCourt
## 1157 Zelig swiss
## 1158 Zelig tobin
## 1159 Zelig turnout
## 1160 Zelig voteincome
## 1161 Zelig Weimar
## 1162 Zelig Zelig.url
## Title
## 1 Monthly Excess Returns
## 2 Delay in AIDS Reporting in England and Wales
## 3 Failures of Air-conditioning Equipment
## 4 Failures of Air-conditioning Equipment
## 5 Car Speeding and Warning Signs
## 6 Remission Times for Acute Myelogenous Leukaemia
## 7 Beaver Body Temperature Data
## 8 Population of U.S. Cities
## 9 Spatial Location of Bramble Canes
## 10 Smoking Deaths Among Doctors
## 11 Calcium Uptake Data
## 12 Sugar-cane Disease Data
## 13 Simulated Manufacturing Process Data
## 14 Weight Data for Domestic Cats
## 15 Position of Muscle Caveolae
## 16 CD4 Counts for HIV-Positive Patients
## 17 Nested Bootstrap of cd4 data
## 18 Channing House Data
## 19 Population of U.S. Cities
## 20 Genetic Links to Left-handedness
## 21 Number of Flaws in Cloth
## 22 Carbon Monoxide Transfer
## 23 Dates of Coal Mining Disasters
## 24 Darwin's Plant Height Differences
## 25 Cardiac Data for Domestic Dogs
## 26 Incidence of Down's Syndrome in British Columbia
## 27 Behavioral and Plumage Characteristics of Hybrid Ducks
## 28 Counts of Balsam-fir Seedlings
## 29 Head Dimensions in Brothers
## 30 Acceleration Due to Gravity
## 31 Acceleration Due to Gravity
## 32 Failure Time of PET Film
## 33 Jura Quartzite Azimuths on Islay
## 34 Average Heights of the Rio Negro river at Manaus
## 35 Survival from Malignant Melanoma
## 36 Data from a Simulated Motorcycle Accident
## 37 Neurophysiological Point Process Data
## 38 Toxicity of Nitrofen in Aquatic Systems
## 39 Nodal Involvement in Prostate Cancer
## 40 Nuclear Power Station Construction Data
## 41 Neurotransmission in Guinea Pig Brains
## 42 Animal Survival Times
## 43 Pole Positions of New Caledonian Laterites
## 44 Cancer Remission and Cell Activity
## 45 Water Salinity and River Discharge
## 46 Survival of Rats after Radiation Doses
## 47 Tau Particle Decay Modes
## 48 Tuna Sighting Data
## 49 Urine Analysis Data
## 50 Australian Relative Wool Prices
## 51 Experimenter Expectations
## 52 American Math Society Survey Data
## 53 Moral Integration of American Cities
## 54 U. S. State Public-School Expenditures
## 55 Arrests for Marijuana Possession
## 56 Methods of Teaching Reading Comprehension
## 57 British Election Panel Study
## 58 Canadian Women's Labour-Force Participation
## 59 Exercise Histories of Eating-Disordered and Control Subjects
## 60 Fraudulent Data on IQs of Twins Raised Apart
## 61 Canadian Population Data
## 62 Voting Intentions in the 1988 Chilean Plebiscite
## 63 The 1907 Romanian Peasant Rebellion
## 64 Cowles and Davis's Data on Volunteering
## 65 Self-Reports of Height and Weight
## 66 Davis's Data on Drive for Thinness
## 67 Minnesota Wolf Depredation Data
## 68 Duncan's Occupational Prestige Data
## 69 The 1980 U.S. Census Undercount
## 70 Florida County Voting
## 71 Crowding and Crime in U. S. Metropolitan Areas
## 72 Format Effects on Recall
## 73 Data on Depression
## 74 Refugee Appeals
## 75 Data from the General Social Survey (GSS) from the National Opinion Research Center of the University of Chicago.
## 76 Anonymity and Cooperation
## 77 Canadian Crime-Rates Time Series
## 78 Highway Accidents
## 79 Treatment of Migraine Headaches
## 80 Data on Infant-Mortality
## 81 Cancer drug data use to provide an example of the use of the skew power distributions.
## 82 Contrived Collinear Data
## 83 Canadian Interprovincial Migration Data
## 84 Status, Authoritarianism, and Conformity
## 85 Minneapolis Demographic Data 2015, by Neighborhood
## 86 Minneapolis Police Department 2017 Stop Data
## 87 U.S. Women's Labor-Force Participation
## 88 O'Brien and Kaiser's Repeated-Measures Data
## 89 Interlocking Directorates Among Major Canadian Firms
## 90 Chemical Composition of Pottery
## 91 Prestige of Canadian Occupations
## 92 Four Regression Datasets
## 93 Fertility and Contraception
## 94 Agricultural Production in Mazulu Village
## 95 Salaries for Professors
## 96 Survey of Labour and Income Dynamics
## 97 Soil Compositions of Physical and Chemical Characteristics
## 98 Education and Related Statistics for the U.S. States
## 99 Survival of Passengers on the Titanic
## 100 Transaction data
## 101 National Statistics from the United Nations, Mostly From 2009-2011
## 102 Population of the United States
## 103 Vocabulary and Education
## 104 Weight Loss Data
## 105 Well Switching in Bangladesh
## 106 Canadian Women's Labour-Force Participation
## 107 Post-Coma Recovery of IQ
## 108 Wool data
## 109 World Values Surveys
## 110 European Union Agricultural Workforces
## 111 Attributes of Animals
## 112 Subset of C-horizon of Kola Data
## 113 Flower Characteristics
## 114 Plant Species Traits Data
## 115 Isotopic Composition Plutonium Batches
## 116 Ruspini Data
## 117 Votes for Republican Candidate in Presidential Elections
## 118 Bivariate Data Set with 3 Clusters
## 119 affairs
## 120 azcabgptca
## 121 azdrg112
## 122 azpro
## 123 azprocedure
## 124 badhealth
## 125 fasttrakg
## 126 fishing
## 127 lbw
## 128 lbwgrp
## 129 loomis
## 130 mdvis
## 131 medpar
## 132 nuts
## 133 rwm
## 134 rwm1984
## 135 rwm5yr
## 136 ships
## 137 smoking
## 138 titanic
## 139 titanicgrp
## 140 Aberrant Crypt Foci in Rat Colons
## 141 Australian athletes data set
## 142 Measurements on a Selection of Books
## 143 Anesthetic Effectiveness
## 144 Averages by block of corn yields, for treatment 111 only
## 145 Averages by block of yields for the Antigua Corn data
## 146 Tasting experiment that compared four apple varieties
## 147 Latitudes and longitudes for ten Australian cities
## 148 Population figures for Australian States and Territories
## 149 Biomass Data
## 150 Australian and Related Historical Annual Climate Data, by region
## 151 Australian and Related Historical Annual Climate Data, by region
## 152 Australian and Related Historical Annual Climate Data, by region
## 153 Southern Oscillation Index Data
## 154 Southern Oscillation Index Data
## 155 Boston Housing Data - Corrected
## 156 US Car Price Data
## 157 A Summary of the Cars93 Data set
## 158 Percentage of Sugar in Breakfast Cereal
## 159 Cape Fur Seal Data
## 160 Populations of Major Canadian Cities (1992-96)
## 161 Dose-mortality data, for fumigation of codling moth with methyl bromide
## 162 Occupation and wage profiles of British cotton workers
## 163 Labour Training Evaluation Data
## 164 Labour Training Evaluation Data
## 165 Labour Training Evaluation Data
## 166 Lifespans of UK 1st class cricketers born 1840-1960
## 167 Comparison of cuckoo eggs with host eggs
## 168 Cuckoo Eggs Data
## 169 Dengue prevalence, by administrative region
## 170 Dewpoint Data
## 171 Periods Between Rain Events
## 172 EPICA Dome C Ice Core 800KYr Carbon Dioxide Data
## 173 EPICA Dome C Ice Core 800KYr Temperature Estimates
## 174 Elastic Band Data Replicated
## 175 Elastic Band Data Replicated Again
## 176 Elastic Band Data
## 177 Fossil Fuel Data
## 178 Female Possum Measurements
## 179 Frogs Data
## 180 Frosted Flakes data
## 181 Electrical Resistance of Kiwi Fruit
## 182 Effect of pentazocine on post-operative pain (average VAS scores)
## 183 Seismic Timing Data
## 184 Yearly averages of Great Lake heights: 1918 - 2009
## 185 Alcohol consumption in Australia and New Zealand
## 186 Minor Head Injury (Simulated) Data
## 187 Minor Head Injury (Simulated) Data
## 188 Scottish Hill Races Data
## 189 Scottish Hill Races Data - 2000
## 190 Hawaian island chain hotspot Potassium-Argon ages
## 191 Hawaian island chain hotspot Argon-Argon ages
## 192 Aranda House Prices
## 193 Oxygen uptake versus mechanical power, for humans
## 194 Oxygen uptake versus mechanical power, for humans
## 195 Named US Atlantic Hurricanes
## 196 Blood pressure versus Salt; inter-population data
## 197 Iron Content Measurements
## 198 Canadian Labour Force Summary Data (1995-96)
## 199 Kiwi Shading Data
## 200 Full Leaf Shape Data Set
## 201 Subset of Leaf Shape Data Set
## 202 Leaf and Air Temperature Data
## 203 Full Leaf and Air Temperature Data Set
## 204 Mouse Litters
## 205 Ontario Lottery Data
## 206 Cape Fur Seal Lung Measurements
## 207 The Nine Largest Lakes in Manitoba
## 208 Deaths in London from measles
## 209 Family Medical Expenses
## 210 Mortality Outcomes for Females Suffering Myocardial Infarction
## 211 Darwin's Wild Mignonette Data
## 212 Milk Sweetness Study
## 213 Model Car Data
## 214 WHO Monica Data
## 215 Moths Data
## 216 Airbag and other influences on accident fatalities
## 217 Documentation of names of columns in nass9702cor
## 218 Record times for Northern Ireland mountain running events
## 219 Labour Training Evaluation Data
## 220 Labour Training Evaluation Data
## 221 Labour Training Evaluation Data
## 222 A Subset of the nsw74psid1 Data Set
## 223 Labour Training Evaluation Data
## 224 Labour Training Evaluation Data
## 225 Measurements on 12 books
## 226 Challenger O-rings Data
## 227 Ozone Data
## 228 Heated Elastic Bands
## 229 Possum Measurements
## 230 Possum Sites
## 231 Deaths from various causes, in London from 1629 till 1881, with gaps
## 232 Primate Body and Brain Weights
## 233 Progression of Record times for track races, 1912 - 2008
## 234 Labour Training Evaluation Data
## 235 Labour Training Evaluation Data
## 236 Labour Training Evaluation Data
## 237 Scottish Hill Races Data - 2000
## 238 Rainforest Data
## 239 Rare and Endangered Plant Species
## 240 Genetically Modified and Wild Type Rice Data
## 241 Pacific Rock Art features
## 242 Lawn Roller Data
## 243 School Science Survey Data
## 244 Barley Seeding Rate Data
## 245 Social Support Data
## 246 Measurements on a Selection of Paperback Books
## 247 sorption data set
## 248 Closing Numbers for S and P 500 Index
## 249 Closing Numbers for S and P 500 Index - First 100 Days of 1990
## 250 Spam E-mail Data
## 251 Averages by block of yields for the St. Vincent Corn data
## 252 Sugar Data
## 253 Car Window Tinting Experiment Data
## 254 Root weights of tomato plants exposed to 4 different treatments
## 255 Toy Cars Data
## 256 Averages by block of corn yields, for treatment 111 only
## 257 Video Lottery Terminal Data
## 258 Wages of Lancashire Cotton Factory Workers in 1833
## 259 Deaths from whooping cough, in London
## 260 Record times for track and road races, at August 9th 2006
## 261 Ability and Intelligence Tests
## 262 Passenger Miles on Commercial US Airlines, 1937-1960
## 263 Monthly Airline Passenger Numbers 1949-1960
## 264 New York Air Quality Measurements
## 265 Anscombe's Quartet of 'Identical' Simple Linear Regressions
## 266 The Joyner-Boore Attenuation Data
## 267 The Chatterjee-Price Attitude Data
## 268 Quarterly Time Series of the Number of Australian Residents
## 269 Sales Data with Leading Indicator
## 270 Biochemical Oxygen Demand
## 271 Speed and Stopping Distances of Cars
## 272 Weight versus age of chicks on different diets
## 273 Chicken Weights by Feed Type
## 274 Mauna Loa Atmospheric CO2 Concentration
## 275 Carbon Dioxide Uptake in Grass Plants
## 276 Student's 3000 Criminals Data
## 277 Yearly Numbers of Important Discoveries
## 278 Elisa assay of DNase
## 279 Smoking, Alcohol and (O)esophageal Cancer
## 280 Conversion Rates of Euro Currencies
## 281 Daily Closing Prices of Major European Stock Indices, 1991-1998
## 282 Old Faithful Geyser Data
## 283 Determination of Formaldehyde
## 284 Freeny's Revenue Data
## 285 Hair and Eye Color of Statistics Students
## 286 Harman Example 2.3
## 287 Harman Example 7.4
## 288 Pharmacokinetics of Indomethacin
## 289 Infertility after Spontaneous and Induced Abortion
## 290 Effectiveness of Insect Sprays
## 291 Edgar Anderson's Iris Data
## 292 Edgar Anderson's Iris Data
## 293 Areas of the World's Major Landmasses
## 294 Quarterly Earnings per Johnson & Johnson Share
## 295 Level of Lake Huron 1875-1972
## 296 Luteinizing Hormone in Blood Samples
## 297 Intercountry Life-Cycle Savings Data
## 298 Growth of Loblolly pine trees
## 299 Longley's Economic Regression Data
## 300 Annual Canadian Lynx trappings 1821-1934
## 301 Michelson Speed of Light Data
## 302 Motor Trend Car Road Tests
## 303 Average Yearly Temperatures in New Haven
## 304 Flow of the River Nile
## 305 Average Monthly Temperatures at Nottingham, 1920-1939
## 306 Classical N, P, K Factorial Experiment
## 307 Occupational Status of Fathers and their Sons
## 308 Growth of Orange Trees
## 309 Potency of Orchard Sprays
## 310 Results from an Experiment on Plant Growth
## 311 Annual Precipitation in US Cities
## 312 Quarterly Approval Ratings of US Presidents
## 313 Vapor Pressure of Mercury as a Function of Temperature
## 314 Reaction Velocity of an Enzymatic Reaction
## 315 Locations of Earthquakes off Fiji
## 316 Random Numbers from Congruential Generator RANDU
## 317 Lengths of Major North American Rivers
## 318 Measurements on Petroleum Rock Samples
## 319 Road Casualties in Great Britain 1969-84
## 320 Student's Sleep Data
## 321 Brownlee's Stack Loss Plant Data
## 322 Monthly Sunspot Data, from 1749 to "Present"
## 323 Yearly Sunspot Data, 1700-1988
## 324 Monthly Sunspot Numbers, 1749-1983
## 325 Swiss Fertility and Socioeconomic Indicators (1888) Data
## 326 Pharmacokinetics of Theophylline
## 327 Survival of passengers on the Titanic
## 328 The Effect of Vitamin C on Tooth Growth in Guinea Pigs
## 329 Yearly Treering Data, -6000-1979
## 330 Girth, Height and Volume for Black Cherry Trees
## 331 Student Admissions at UC Berkeley
## 332 Road Casualties in Great Britain 1969-84
## 333 UK Quarterly Gas Consumption
## 334 Accidental Deaths in the US 1973-1978
## 335 Violent Crime Rates by US State
## 336 Lawyers' Ratings of State Judges in the US Superior Court
## 337 Personal Expenditure Data
## 338 Populations Recorded by the US Census
## 339 Death Rates in Virginia (1940)
## 340 Topographic Information on Auckland's Maunga Whau Volcano
## 341 The Number of Breaks in Yarn during Weaving
## 342 Average Heights and Weights for American Women
## 343 The World's Telephones
## 344 Internet Usage per Minute
## 345 Ship Accidents
## 346 Cost for U.S. Airlines
## 347 Air Quality for Californian Metropolitan Areas
## 348 Countries in Banking Crises
## 349 Unemployment of Blue Collar Workers
## 350 Bids Received By U.S. Firms
## 351 Cyber Security Breaches
## 352 Budget Share of Food for Spanish Households
## 353 Budget Shares for Italian Households
## 354 Budget Shares of British Households
## 355 Wages in Belgium
## 356 Stock Market Data
## 357 Stated Preferences for Car Choice
## 358 The California Test Score Data Set
## 359 Choice of Brand for Catsup
## 360 Cigarette Consumption
## 361 The Cigarette Consumption Panel Data Set
## 362 Sales Data of Men's Fashion Stores
## 363 Prices of Personal Computers
## 364 Quarterly Data on Consumption and Expenditure
## 365 Earnings from the Current Population Survey
## 366 Choice of Brand for Crakers
## 367 Growth of CRAN
## 368 Crime in North Carolina
## 369 Daily Returns from the CRSP Database
## 370 Monthly Returns from the CRSP Database
## 371 Pricing the C's of Diamond Stones
## 372 DM Dollar Exchange Rate
## 373 Number of Doctor Visits
## 374 Doctor Visits in Australia
## 375 Contacts With Medical Doctor
## 376 Earnings for Three Age Groups
## 377 Cost Function for Electricity Producers
## 378 Extramarital Affairs Data
## 379 Drunk Driving Laws and Traffic Deaths
## 380 Choice of Fishing Mode
## 381 Exchange Rates of US Dollar Against Other Currencies
## 382 Data from the Television Game Show Friend Or Foe ?
## 383 Daily Observations on Exchange Rates of the US Dollar Against Other Currencies
## 384 Gasoline Consumption
## 385 Wage Datas
## 386 Grunfeld Investment Data
## 387 Heating and Cooling System Choice in Newly Built Houses in California
## 388 The Boston HMDA Data Set
## 389 Heating System Choice in California Houses
## 390 Hedonic Prices of Census Tracts in Boston
## 391 Cybersecurity breaches reported to the US Department of Health and Human Services
## 392 Health Insurance and Hours Worked By Wives
## 393 The Boston HMDA Data Set
## 394 Sales Prices of Houses in the City of Windsor
## 395 Housing Starts
## 396 Ice Cream Consumption
## 397 Global Terrorism Database yearly summaries
## 398 Income Inequality in the US
## 399 Seasonally Unadjusted Quarterly Data on Disposable Income and Expenditure
## 400 Monthly Interest Rates
## 401 Economic Journals Dat Set
## 402 Willingness to Pay for the Preservation of the Kakadu National Park
## 403 Choice of Brand for Ketchup
## 404 Klein's Model I
## 405 Wages and Hours Worked
## 406 Belgian Firms
## 407 The Longley Data
## 408 Dollar Sterling Exchange Rate
## 409 Macroeconomic Time Series for the United States
## 410 Wages and Education of Young Males
## 411 Manufacturing Costs
## 412 Level of Calculus Attained for Students Taking Advanced Micro-economics
## 413 The Massachusetts Test Score Data Set
## 414 Structure of Demand for Medical Care
## 415 Production for SIC 33
## 416 Inflation and Interest Rates
## 417 Mode Choice
## 418 Data to Study Travel Mode Choice
## 419 International Expansion of U.S. Mofa's (majority-owned Foreign Affiliates in Fire (finance, Insurance and Real Estate)
## 420 Money, GDP and Interest Rate in Canada
## 421 Macroeconomic Series for the United States
## 422 Money, National Product and Interest Rate
## 423 Labor Supply Data
## 424 Municipal Expenditure Data
## 425 Growth of Disposable Income and Treasury Bill Rate
## 426 Willingness to Pay for the Preservation of the Alentejo Natural Park
## 427 Cost Function for Electricity Producers, 1955
## 428 Global Terrorism Database yearly summaries
## 429 Names with Character Set Problems
## 430 Visits to Physician Office
## 431 Oil Investment
## 432 The Orange Juice Data Set
## 433 Labor Force Participation
## 434 Dynamic Relation Between Patents and R&D
## 435 Patents, R&D and Technological Spillovers for a Panel of Firms
## 436 Price and Earnings Index
## 437 Political knowledge in the US and Europe
## 438 Pound-dollar Exchange Rate
## 439 Exchange Rates and Price Indices for France and Italy
## 440 Returns of Size-based Portfolios
## 441 Us States Production
## 442 Panel Survey of Income Dynamics
## 443 Return to Schooling
## 444 Wages and Schooling
## 445 Solow's Technological Change Data
## 446 Visits to Lake Somerville
## 447 Returns on Standard & Poor's 500 Index
## 448 Effects on Learning of Small Class Sizes
## 449 Strike Duration Data
## 450 Strikes Duration
## 451 Number of Strikes in Us Manufacturing
## 452 The Penn Table
## 453 Interest Rate, GDP and Inflation
## 454 Global Terrorism Database yearly summaries
## 455 Households Tobacco Budget Share
## 456 Stated Preferences for Train Traveling
## 457 Statewide Data on Transportation Equipment Manufacturing
## 458 Evaluating Treatment Effect of Training on Earnings
## 459 Choice of Brand for Tuna
## 460 Unemployment Duration
## 461 Unemployment Duration
## 462 Provision of University Teaching and Research
## 463 Official Secrecy of the United States Government
## 464 US Finance Industry Profits
## 465 US GDP per capita with presidents and wars
## 466 Standard abbreviations for states of the United States
## 467 Number of Words in US Tax Law
## 468 Medical Expenses in Viet-nam (household Level)
## 469 Medical Expenses in Viet-nam (individual Level)
## 470 Panel Datas of Individual Wages
## 471 Wages, Experience and Schooling
## 472 Wife Working Hours
## 473 Yen-dollar Exchange Rate
## 474 Choice of Brand for Yogurts
## 475 Daily Log Returns on BMW Share Price
## 476 Danish Fire Insurance Claims
## 477 The River Nidd Data
## 478 The River Nidd Data
## 479 Daily Log Returns on Siemens Share Price
## 480 SP Data to June 1993
## 481 SP Return Data to October 1987
## 482 Aircraft Crash data
## 483 Historical speed of light measurements
## 484 US fatal road accident data for automobiles, 1998 to 2010
## 485 US fatal road accident data, 2007 and 2008
## 486 US fatal road accident data, 2007 and 2008
## 487 Summary information on records omitted from the 'FARS' dataset
## 488 German credit scoring data
## 489 Global temperature anomalies
## 490 ALDH2 markers and Alcoholism
## 491 APOE/APOC1 markers and Alzheimer's
## 492 Cystic fibrosis data
## 493 Crohn's disease data
## 494 Friedreich Ataxia data
## 495 A case-control data involving four SNPs with missing genotype
## 496 The HLA data
## 497 An example pedigree data
## 498 An example pedigree
## 499 A study of Parkinson's disease and MAO gene
## 500 A pedigree data on 282 animals deriving from two generations
## 501 Example data for ACEnucfam
## 502 A study of Alzheimer's disease with eight SNPs and APOE
## 503 A study of Parkinson's disease and APOE, LRRK2, SNCA makers
## 504 Growth curves of pigs in a 3x3 factorial experiment
## 505 Ordinal Data from Koch
## 506 Ohio Children Wheeze Status
## 507 Clustered Ordinal Respiratory Disorder
## 508 Data from a clinical trial comparing two treatments for a respiratory illness
## 509 Epiliptic Seizures
## 510 Growth of Sitka Spruce Trees
## 511 Log-size of 79 Sitka spruce trees
## 512 Prices of 50,000 round cut diamonds
## 513 US economic time series
## 514 US economic time series
## 515 2d density estimate of Old Faithful data
## 516 'colors()' in Luv space
## 517 Midwest demographics
## 518 Fuel economy data from 1999 and 2008 for 38 popular models of car
## 519 An updated and expanded version of the mammals sleep dataset
## 520 Terms of 11 presidents from Eisenhower to Obama
## 521 Vector field of seal movements
## 522 Housing sales in TX
## 523 Arbuthnot's data on male and female birth ratios in London from 1629-1710.
## 524 La Felicisima Armada
## 525 Bowley's data on values of British and Irish trade, 1855-1899
## 526 Cavendish's Determinations of the Density of the Earth
## 527 Chest measurements of 5738 Scottish Militiamen
## 528 William Farr's Data on Cholera in London, 1849
## 529 Cushny-Peebles Data: Soporific Effects of Scopolamine Derivatives
## 530 Cushny-Peebles Data: Soporific Effects of Scopolamine Derivatives
## 531 Edgeworth's counts of dactyls in Virgil's Aeneid
## 532 Elderton and Pearson's (1910) data on drinking and wages
## 533 Waite's data on Patterns in Fingerprints
## 534 Galton's data on the heights of parents and their children
## 535 Galton's data on the heights of parents and their children, by child
## 536 Data from A.-M. Guerry, "Essay on the Moral Statistics of France"
## 537 Halley's Life Table
## 538 W. Stanley Jevons' data on numerical discrimination
## 539 van Langren's Data on Longitude Distance between Toledo and Rome
## 540 van Langren's Data on Longitude Distance between Toledo and Rome
## 541 Macdonell's Data on Height and Finger Length of Criminals, used by Gosset (1908)
## 542 Macdonell's Data on Height and Finger Length of Criminals, used by Gosset (1908)
## 543 Michelson's Determinations of the Velocity of Light
## 544 Michelson's Determinations of the Velocity of Light
## 545 Data from Minard's famous graphic map of Napoleon's march on Moscow
## 546 Data from Minard's famous graphic map of Napoleon's march on Moscow
## 547 Data from Minard's famous graphic map of Napoleon's march on Moscow
## 548 Florence Nightingale's data on deaths from various causes in the Crimean War
## 549 Latitudes and Longitudes of 39 Points in 11 Old Maps
## 550 Pearson and Lee's data on the heights of parents and children classified by gender
## 551 Polio Field Trials Data
## 552 Parent-Duchatelet's time-series data on the number of prostitutes in Paris
## 553 Trial of the Pyx
## 554 Statistics of Deadly Quarrels
## 555 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 556 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 557 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 558 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 559 John Snow's Map and Data on the 1854 London Cholera Outbreak
## 560 John F. W. Herschel's Data on the Orbit of the Twin Stars gamma _Virginis_
## 561 John F. W. Herschel's Data on the Orbit of the Twin Stars gamma _Virginis_
## 562 Playfair's Data on Wages and the Price of Wheat
## 563 Playfair's Data on Wages and the Price of Wheat
## 564 Student's (1906) Yeast Cell Counts
## 565 Student's (1906) Yeast Cell Counts
## 566 Darwin's Heights of Cross- and Self-fertilized Zea May Pairs
## 567 Total Body Composision Data
## 568 Aspirin Data
## 569 BCG Vaccine Data
## 570 Birth and Death Rates Data
## 571 Bladder Cancer Data
## 572 Beat the Blues Data
## 573 Cloud Seeding Data
## 574 CYG OB1 Star Cluster Data
## 575 Epilepsy Data
## 576 The Forbes 2000 Ranking of the World's Biggest Companies (Year 2004)
## 577 Foster Feeding Experiment
## 578 General Health Questionnaire
## 579 Olympic Heptathlon Seoul 1988
## 580 Prevention of Gastointestinal Damages
## 581 Survival Times after Mastectomy of Breast Cancer Patients
## 582 Meteorological Measurements for 11 Years
## 583 Oral Lesions in Rural India
## 584 Phosphate Level Data
## 585 Piston Rings Failures
## 586 Exoplanets Data
## 587 Blood Screening Data
## 588 Familial Andenomatous Polyposis
## 589 Familial Andenomatous Polyposis
## 590 Romano-British Pottery Data
## 591 Rearrests of Juvenile Felons
## 592 Respiratory Illness Data
## 593 Students Estimates of Lecture Room Width
## 594 Age of Onset of Schizophrenia Data
## 595 Schizophrenia Data
## 596 Days not Spent at School
## 597 Egyptian Skulls
## 598 Nicotine Gum and Smoking Cessation
## 599 Student Risk Taking
## 600 Crowd Baiting Behaviour and Suicides
## 601 Toothpaste Data
## 602 House of Representatives Voting Data
## 603 Mortality and Water Hardness
## 604 Water Voles Data
## 605 Electricity from Wave Power at Sea
## 606 Gain in Weight of Rats
## 607 Womens Role in Society
## 608 Observed genotype frequencies at MN and S loci, for 2 populations
## 609 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)
## 610 Auto Data Set
## 611 The Insurance Company (TIC) Benchmark
## 612 Sales of Child Car Seats
## 613 U.S. News and World Report's College Data
## 614 Credit Card Balance Data
## 615 Credit Card Default Data
## 616 Baseball Data
## 617 NCI 60 Data
## 618 Orange Juice Data
## 619 Portfolio Data
## 620 S&P Stock Market Data
## 621 Mid-Atlantic Wage Data
## 622 Weekly S&P Stock Market Data
## 623 data from Section 1.19
## 624 data from Section 1.9
## 625 data from Exercise 13.1, p418
## 626 data from Exercise 4.7, p122
## 627 data from Exercise 5.8, p147
## 628 data from Section 1.18
## 629 data from Section 1.14
## 630 data from Section 1.3
## 631 data from Exercise 7.7, p223
## 632 data from Section 1.5
## 633 data from Section 1.6
## 634 data from Section 1.16
## 635 data from Section 1.2
## 636 data from Exercise 7.6, p222
## 637 data from Section 1.10
## 638 data from Section 1.4
## 639 Data on 38 individuals using a kidney dialysis machine
## 640 data from Section 1.7
## 641 data from Section 1.8
## 642 data from Exercise 4.4, p120
## 643 data from Section 1.13
## 644 data from Section 1.15
## 645 data from Exercise 7.13, p225
## 646 data from Section 1.12
## 647 data from Exercise 5.6, p146
## 648 data from Section 1.11
## 649 data from Exercise 7.14, p225
## 650 Yield data from a Minnesota barley trial
## 651 Atmospheric environmental conditions in New York City
## 652 Engine exhaust fumes from burning ethanol
## 653 Melanoma skin cancer incidence
## 654 Heights of New York Choral Society singers
## 655 Mortality Rates in US by Cause and Gender
## 656 Mortality Rates in US by Cause and Gender
## 657 Arabidopsis clipping/fertilization data
## 658 Breakage Angle of Chocolate Cakes
## 659 Contagious bovine pleuropneumonia
## 660 Yield of dyestuff by batch
## 661 Yield of dyestuff by batch
## 662 Data on red grouse ticks from Elston et al. 2001
## 663 University Lecture/Instructor Evaluations by Students at ETH
## 664 Paste strength by batch and cask
## 665 Variation in penicillin testing
## 666 Reaction times in a sleep deprivation study
## 667 Verbal Aggression item responses
## 668 Data set for Unstructured Treatment Interruption Study
## 669 Determinations of Nickel Content
## 670 Accidental Deaths in the US 1973-1978
## 671 Australian AIDS Survival Data
## 672 Brain and Body Weights for 28 Species
## 673 Anorexia Data on Weight Change
## 674 Presence of Bacteria after Drug Treatments
## 675 Body Temperature Series of Beaver 1
## 676 Body Temperature Series of Beaver 2
## 677 Biopsy Data on Breast Cancer Patients
## 678 Risk Factors Associated with Low Infant Birth Weight
## 679 Housing Values in Suburbs of Boston
## 680 Data from a cabbage field trial
## 681 Colours of Eyes and Hair of People in Caithness
## 682 Data from 93 Cars on Sale in the USA in 1993
## 683 Anatomical Data from Domestic Cats
## 684 Heat Evolved by Setting Cements
## 685 Copper in Wholemeal Flour
## 686 Co-operative Trial in Analytical Chemistry
## 687 Performance of Computer CPUs
## 688 Morphological Measurements on Leptograpsus Crabs
## 689 Diagnostic Tests on Patients with Cushing's Syndrome
## 690 DDT in Kale
## 691 Monthly Deaths from Lung Diseases in the UK
## 692 Deaths of Car Drivers in Great Britain 1969-84
## 693 Foraging Ecology of Bald Eagles
## 694 Seizure Counts for Epileptics
## 695 Ecological Factors in Farm Management
## 696 Measurements of Forensic Glass Fragments
## 697 Forbes' Data on Boiling Points in the Alps
## 698 Level of GAG in Urine of Children
## 699 Velocities for 82 Galaxies
## 700 Remission Times of Leukaemia Patients
## 701 Rat Genotype Data
## 702 Old Faithful Geyser Data
## 703 Line Transect of Soil in Gilgai Territory
## 704 Record Times in Scottish Hill Races
## 705 Frequency Table from a Copenhagen Housing Conditions Survey
## 706 Yields from a Barley Field Trial
## 707 Numbers of Car Insurance claims
## 708 Survival Times and White Blood Counts for Leukaemia Patients
## 709 Brain and Body Weights for 62 Species of Land Mammals
## 710 Data from a Simulated Motorcycle Accident
## 711 Survival from Malignant Melanoma
## 712 Age of Menarche in Warsaw
## 713 Michelson's Speed of Light Data
## 714 Minnesota High School Graduates of 1938
## 715 Accelerated Life Testing of Motorettes
## 716 Effect of Calcium Chloride on Muscle Contraction in Rat Hearts
## 717 Newcomb's Measurements of the Passage Time of Light
## 718 Eighth-Grade Pupils in the Netherlands
## 719 Classical N, P, K Factorial Experiment
## 720 US Naval Petroleum Reserve No. 1 data
## 721 Data from an Oats Field Trial
## 722 Tests of Auditory Perception in Children with OME
## 723 The Painter's Data of de Piles
## 724 N. L. Prater's Petrol Refinery Data
## 725 Belgium Phone Calls 1950-1973
## 726 Diabetes in Pima Indian Women
## 727 Diabetes in Pima Indian Women
## 728 Diabetes in Pima Indian Women
## 729 Absenteeism from School in Rural New South Wales
## 730 Blood Pressure in Rabbits
## 731 Road Accident Deaths in US States
## 732 Numbers of Rotifers by Fluid Density
## 733 Accelerated Testing of Tyre Rubber
## 734 Ships Damage Data
## 735 Shoe wear data of Box, Hunter and Hunter
## 736 Percentage of Shrimp in Shrimp Cocktail
## 737 Space Shuttle Autolander Problem
## 738 Growth Curves for Sitka Spruce Trees in 1988
## 739 Growth Curves for Sitka Spruce Trees in 1989
## 740 AFM Compositions of Aphyric Skye Lavas
## 741 Snail Mortality Data
## 742 Returns of the Standard and Poors 500
## 743 The Saturated Steam Pressure Data
## 744 The Stormer Viscometer Data
## 745 Student Survey Data
## 746 Synthetic Classification Problem
## 747 Synthetic Classification Problem
## 748 Spatial Topographic Data
## 749 Effect of Swedish Speed Limits on Accidents
## 750 Nutritional and Marketing Information on US Cereals
## 751 The Effect of Punishment Regimes on Crime Rates
## 752 Veteran's Administration Lung Cancer Trial
## 753 Counts of Waders at 15 Sites in South Africa
## 754 House Insulation: Whiteside's Data
## 755 Weight Loss Data from an Obese Patient
## 756 Example Data for the Design Functions
## 757 Example Data for the Crossover Encouragement Design
## 758 Brader, Valentino and Suhay (2008) Framing Experiment Data
## 759 JOBS II data
## 760 School-level data
## 761 Hypothetical student-level data
## 762 Subset of variables from the CHAIN project
## 763 National Longitudinal Survey of Youth Extract
## 764 Alcohol Consumption per Capita
## 765 US Births in 1969 - 1988
## 766 US Births
## 767 US Births in 2015
## 768 US Births in 1978
## 769 Standard Deck of Cards
## 770 CoolingWater
## 771 Countries
## 772 Data from the 1985 Current Population Survey (CPS85)
## 773 Weight of dimes
## 774 Galton's dataset of parent and child heights
## 775 Data from the Child Health and Development Studies
## 776 Goose Permit Study
## 777 Data from a heat exchanger laboratory
## 778 Health Evaluation and Linkage to Primary Care
## 779 Health Evaluation and Linkage to Primary Care
## 780 Health Evaluation and Linkage to Primary Care
## 781 Foot measurements in children
## 782 Marriage records
## 783 Mites and Wilt Disease
## 784 Volume of Users of a Rail Trail
## 785 Volume of Users of a Massachusetts Rail Trail
## 786 Houses in Saratoga County (2006)
## 787 State by State SAT data
## 788 Snowfall data for Grand Rapids, MI
## 789 100 m Swimming World Records
## 790 Cherry Blossom Race
## 791 Utility bills
## 792 Utility bills
## 793 Weather
## 794 Data from the Whickham survey
## 795 Rheumatoid Arthritis Clinical Trial
## 796 Homeless Data
## 797 Cigarette Consumption
## 798 Crime in North Carolina
## 799 Employment and Wages in the United Kingdom
## 800 Gasoline Consumption
## 801 Grunfeld's Investment Data
## 802 Hedonic Prices of Census Tracts in the Boston Area
## 803 Wages and Hours Worked
## 804 Wages and Education of Young Males
## 805 Purchasing Power Parity and other parity relationships
## 806 US States Production
## 807 Production of Rice in Indonesia
## 808 Employment and Wages in Spain
## 809 The Penn World Table, v. 5
## 810 Panel Data of Individual Wages
## 811 Yearly batting records for all major league baseball players
## 812 Monthly ozone measurements over Central America.
## 813 Absentee and Machine Ballots in Pennsylvania State Senate Races
## 814 Applications to a Political Science PhD Program
## 815 Political opinion polls in Australia, 2004-07
## 816 elections to Australian House of Representatives, 1949-2016
## 817 article production by graduate students in biochemistry Ph.D. programs
## 818 California Congressional Districts in 2006
## 819 Batting Averages for 18 major league baseball players, 1970
## 820 U.S. Senate vote on the use of force against Iraq, 2002.
## 821 political parties appearing in the U.S. Congress
## 822 Interviewer ratings of respondent levels of political information
## 823 elections for U.S. President, 1932-2016, by state
## 824 Prussian army horse kick data
## 825 Voter turnout experiment, using Rock The Vote ads
## 826 information about the American states needed for U.S. Congress
## 827 1992 United Kingdom electoral returns
## 828 cross national rates of trade union density
## 829 Reports of voting in the 1992 U.S. Presidential election.
## 830 16 ability items scored as correct or incorrect.
## 831 Two data sets of affect and arousal scores as a function of personality and movie conditions
## 832 Seven data sets showing a bifactor solution.
## 833 Seven data sets showing a bifactor solution.
## 834 Seven data sets showing a bifactor solution.
## 835 25 Personality items representing 5 factors
## 836 25 Personality items representing 5 factors
## 837 A 29 x 29 matrix that produces weird factor analytic results
## 838 Bond's Logical Operations Test - BLOT
## 839 11 emotional variables from Burt (1915)
## 840 12 cognitive variables from Cattell (1963)
## 841 Distances between 11 US cities
## 842 Galton's example of the relationship between height and 'cubit' or forearm length
## 843 A data set from Cushny and Peebles (1905) on the effect of three drugs on hours of sleep, used by Student (1908)
## 844 8 cognitive variables used by Dwyer for an example.
## 845 Eysenck Personality Inventory (EPI) data for 3570 participants
## 846 13 personality scales from the Eysenck Personality Inventory and Big 5 inventory
## 847 Eysenck Personality Inventory (EPI) data for 3570 participants
## 848 Eysenck Personality Inventory (EPI) data for 3570 participants
## 849 Galton's Mid parent child height data
## 850 Example data from Gleser, Cronbach and Rajaratnam (1965) to show basic principles of generalizability theory.
## 851 Example data set from Gorsuch (1997) for an example factor extension.
## 852 Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
## 853 Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
## 854 Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
## 855 A data.frame of the Galton (1888) height and cubit data set.
## 856 Seven data sets showing a bifactor solution.
## 857 Seven data sets showing a bifactor solution.
## 858 US family income from US census 2008
## 859 16 multiple choice IQ items
## 860 75 mood items from the Motivational State Questionnaire for 3896 participants
## 861 75 mood items from the Motivational State Questionnaire for 3032 unique participants
## 862 NEO correlation matrix from the NEO_PI_R manual
## 863 Galton's Peas
## 864 Seven data sets showing a bifactor solution.
## 865 State Anxiety data from the PMC lab over multiple occasions.
## 866 State Anxiety data from the PMC lab over multiple occasions.
## 867 3 Measures of ability: SATV, SATQ, ACT
## 868 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation
## 869 The Schutz correlation matrix example from Shapiro and ten Berge
## 870 A sample from the SAPA Personality Inventory including an item dictionary and scoring keys.
## 871 A sample from the SAPA Personality Inventory including an item dictionary and scoring keys.
## 872 State Anxiety data from the PMC lab over multiple occasions.
## 873 Data set testing causal direction in presumed media influence
## 874 Seven data sets showing a bifactor solution.
## 875 Seven data sets showing a bifactor solution.
## 876 Seven data sets showing a bifactor solution.
## 877 9 Cognitive variables discussed by Tucker and Lewis (1973)
## 878 An example of the distinction between within group and between group correlations
## 879 Barro Data
## 880 Boscovich Data
## 881 Cobar Ore data
## 882 Engel Data
## 883 Time Series of US Gasoline Prices
## 884 Garland(1983) Data on Running Speed of Mammals
## 885 UIS Drug Treatment study data
## 886 Sensory data from a french fries experiment.
## 887 Demo data describing the Smiths.
## 888 Tipping data
## 889 Aircraft Data
## 890 Air Quality Data
## 891 Alcohol Solubility in Water Data
## 892 Daily Means of NOx (mono-nitrogen oxides) in air
## 893 Brain and Body Weights for 65 Species of Land Animals
## 894 Biomass Tillage Data
## 895 Campbell Bushfire Data
## 896 Insect Damages on Carrots
## 897 Cloud point of a Liquid
## 898 Coleman Data Set
## 899 Condroz Data
## 900 Crohn's Disease Adverse Events Data
## 901 Cushny and Peebles Prolongation of Sleep Data
## 902 Delivery Time Data
## 903 Education Expenditure Data
## 904 Epilepsy Attacks Data Set
## 905 Example Data of Antille and May - for Simple Regression
## 906 Food Stamp Program Participation
## 907 Hawkins, Bradu, Kass's Artificial Data
## 908 Heart Catherization Data
## 909 Waterflow Measurements of Kootenay River in Libby and Newgate
## 910 Lactic Acid Concentration Measurement Data
## 911 Length of Stay Data
## 912 Daudin's Milk Composition Data
## 913 NOx Air Pollution Data
## 914 Pension Funds Data
## 915 Phosphorus Content Data
## 916 Pilot-Plant Data
## 917 Possum Diversity Data
## 918 Pulp Fiber and Paper Data
## 919 Satellite Radar Image Data from near Munich
## 920 Salinity Data
## 921 Siegel's Exact Fit Example Data
## 922 Hertzsprung-Russell Diagram Data of Star Cluster CYG OB1
## 923 Number of International Calls from Belgium
## 924 Toxicity of Carboxylic Acids Data
## 925 Vaso Constriction Skin Data Set
## 926 Wagner's Hannover Employment Growth Data
## 927 Modified Data on Wood Specific Gravity
## 928 Automobile Data from 'Consumer Reports' 1990
## 929 Automobile Data from 'Consumer Reports' 1990
## 930 Automobile Data from 'Consumer Reports' 1990
## 931 Data on Children who have had Corrective Spinal Surgery
## 932 Soldering of Components on Printed-Circuit Boards
## 933 Stage C Prostate Cancer
## 934 Innovation and Institutional Ownership
## 935 US Investment Data
## 936 Petersen's Simulated Data for Assessing Clustered Standard Errors
## 937 US Expenditures for Public Schools
## 938 Bollen's Data on Industrialization and Political Democracy
## 939 Variables from the 1997 Canadian National Election Study
## 940 Klein's Data on the U. S. Economy
## 941 Partly Artificial Data on the U. S. Economy
## 942 Six Mental Tests
## 943 Alfalfa
## 944 ArcheryData
## 945 AutoPollution
## 946 Backpack
## 947 BaseballTimes
## 948 BeeStings
## 949 BirdNest
## 950 Blood1
## 951 Blue Jays
## 952 BritishUnions
## 953 CAFE
## 954 CalciumBP
## 955 CancerSurvival
## 956 Caterpillars
## 957 Cereal
## 958 ChemoTHC
## 959 ChildSpeaks
## 960 Clothing
## 961 Cloud Seeding
## 962 Cloud Seeding 2
## 963 CO2
## 964 Cracker Fiber in Diets
## 965 Cuckoo
## 966 Day1Survey
## 967 Diamonds
## 968 Diamonds2
## 969 Election08
## 970 Ethanol
## 971 FantasyBaseball
## 972 Fertility
## 973 FGByDistance
## 974 Film
## 975 FinalFourIzzo
## 976 FinalFourLong
## 977 FinalFourShort
## 978 Fingers
## 979 FirstYearGPA
## 980 FishEggs
## 981 FlightResponse
## 982 Fluorescence
## 983 FruitFlies
## 984 Goldenrod Galls
## 985 Grocery
## 986 Gunnels
## 987 Hawks
## 988 HawkTail
## 989 HawkTail2
## 990 HearingTest
## 991 HighPeaks
## 992 Hoops
## 993 HorsePrices
## 994 Houses
## 995 ICU
## 996 InfantMortality
## 997 InsuranceVote
## 998 Jurors
## 999 Kids198
## 1000 LeafHoppers
## 1001 Leukemia
## 1002 LongJumpOlympics
## 1003 LostLetter
## 1004 Marathon
## 1005 Markets
## 1006 Math Enrollments
## 1007 Math Placement
## 1008 MedGPA
## 1009 Mental Health Admissions
## 1010 Metabolic Rate of Caterpillars
## 1011 MetroHealth83
## 1012 Milgram
## 1013 MLB2007Standings
## 1014 Moth Eggs
## 1015 NCbirths
## 1016 NFL2007Standings
## 1017 Nursing
## 1018 Olives
## 1019 Orings
## 1020 Overdrawn
## 1021 PalmBeach
## 1022 Pedometer
## 1023 Perch
## 1024 PigFeed
## 1025 Pines
## 1026 Political
## 1027 Pollster08
## 1028 Popcorn
## 1029 PorscheJaguar
## 1030 PorschePrice
## 1031 Pulse
## 1032 Putts1
## 1033 Putts2
## 1034 ReligionGDP
## 1035 Retirement
## 1036 RiverElements
## 1037 River Iron
## 1038 SampleFG
## 1039 Sandwich Ants
## 1040 SAT scores and GPA
## 1041 Sea Slugs
## 1042 Sparrows
## 1043 Species Area
## 1044 Speed
## 1045 Swahili
## 1046 Text Prices
## 1047 Three Cars
## 1048 Tip Joke
## 1049 Titanic
## 1050 TMS
## 1051 LaDainian Tomlinson Rushing Yards
## 1052 TwinsLungs
## 1053 USstamps
## 1054 Volts
## 1055 WalkingBabies
## 1056 WeightLossIncentive
## 1057 WeightLossIncentive4
## 1058 WeightLossIncentive7
## 1059 WordMemory
## 1060 YouthRisk2007
## 1061 YouthRisk2009
## 1062 Bladder Cancer Recurrences
## 1063 NCCTG Lung Cancer Data
## 1064 Chronic Granulotomous Disease data
## 1065 Chemotherapy for Stage B/C colon cancer
## 1066 Assay of serum free light chain for 7874 subjects.
## 1067 Generator fans
## 1068 Stanford Heart Transplant data
## 1069 Kidney catheter data
## 1070 Acute Myelogenous Leukemia survival data
## 1071 Data from the 1972-78 GSS data used by Logan
## 1072 NCCTG Lung Cancer Data
## 1073 Monoclonal gammapothy data
## 1074 Monoclonal gammapothy data
## 1075 Acute myeloid leukemia
## 1076 Data from the National Wilm's Tumor Study
## 1077 Ovarian Cancer Survival Data
## 1078 Mayo Clinic Primary Biliary Cirrhosis Data
## 1079 Rat treatment data from Mantel et al
## 1080 Diabetic Retinopathy
## 1081 rhDNASE data set
## 1082 More Stanford Heart Transplant data
## 1083 Tobin's Tobit data
## 1084 Liver transplant waiting list
## 1085 Projected US Population
## 1086 Veterans' Administration Lung Cancer study
## 1087 Liver related laboratory data
## 1088 Rain, wavesurge, portpirie and nidd datasets.
## 1089 Rain, wavesurge, portpirie and nidd datasets.
## 1090 Rain, wavesurge, portpirie and nidd datasets.
## 1091 Air pollution data, separately for summer and winter months
## 1092 Rain, wavesurge, portpirie and nidd datasets.
## 1093 Air pollution data, separately for summer and winter months
## 1094 Arthritis Treatment Data
## 1095 Baseball Data
## 1096 Broken Marriage Data
## 1097 Ergebnisse der Fussball-Bundesliga
## 1098 Votes in German Bundestag Election 2005
## 1099 Butterfly Species in Malaya
## 1100 Breathlessness and Wheeze in Coal Miners
## 1101 Danish Welfare Study Data
## 1102 Employment Status
## 1103 'May' in Federalist Papers
## 1104 Hitters Data
## 1105 Death by Horse Kicks
## 1106 Hospital data
## 1107 Job Satisfaction Data
## 1108 Opinions About Joint Sports
## 1109 Lifeboats on the Titanic
## 1110 Diagnosis of Multiple Sclerosis
## 1111 Non-Response Survey Data
## 1112 Ovary Cancer Data
## 1113 Pre-marital Sex and Divorce
## 1114 Corporal Punishment Data
## 1115 Repeat Victimization Data
## 1116 Rochdale Data
## 1117 Families in Saxony
## 1118 Sex is Fun
## 1119 Space Shuttle O-ring Failures
## 1120 Suicide Rates in Germany
## 1121 Truck Accidents Data
## 1122 UK Soccer Scores
## 1123 Visual Acuity in Left and Right Eyes
## 1124 Von Bortkiewicz Horse Kicks Data
## 1125 Weldon's Dice Data
## 1126 Women in Queues
## 1127 U.S. Presidential Approval Data
## 1128 Sample data for bivariate probit regression
## 1129 Cigarette Consumption Panel Data
## 1130 Coalition Dissolution in Parliamentary Democracies
## 1131 Coalition Dissolution in Parliamentary Democracies, Modified Version
## 1132 Simulation Data for Ecological Inference
## 1133 Freedom of Speech Data
## 1134 Freedom of Speech Data
## 1135 Simulated Example of Schoolchildren Friendship Network
## 1136 Simulation Data for model Seemingly Unrelated Regression (sur) that corresponds to method SUR of systemfit
## 1137 Social Security Expenditure Data
## 1138 Sample Data on Home Runs Hit By Mark McGwire and Sammy Sosa in 1998.
## 1139 Individual Preferences Over Immigration Policy
## 1140 Individual Preferences Over Immigration Policy
## 1141 Individual Preferences Over Immigration Policy
## 1142 Individual Preferences Over Immigration Policy
## 1143 Individual Preferences Over Immigration Policy
## 1144 Individual Preferences Over Immigration Policy
## 1145 Simulation Data for model Two-Stage Least Square (twosls) that corresponds to method 2SLS of systemfit
## 1146 Simulation Data for model Three-Stage Least Square (threesls) that corresponds to method 3SLS of systemfit
## 1147 Macroeconomic Data
## 1148 Table of links for Zelig
## 1149 Voting Data from the 1988 Mexican Presidental Election
## 1150 Militarized Interstate Disputes
## 1151 The Discretized Painter's Data of de Piles
## 1152 Political Economic Risk Data from 62 Countries in 1987
## 1153 Multilateral Economic Sanctions
## 1154 Left Party Seat Share in 11 OECD Countries
## 1155 Simulated Example of Social Network Data
## 1156 U.S. Supreme Court Vote Matrix
## 1157 Swiss Fertility and Socioeconomic Indicators (1888) Data
## 1158 Tobin's Tobit Data
## 1159 Turnout Data Set from the National Election Survey
## 1160 Sample Turnout and Demographic Data from the 2000 Current Population Survey
## 1161 1932 Weimar election data
## 1162 Table of links for Zelig
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## CSV
## 1 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/acme.csv
## 2 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aids.csv
## 3 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit.csv
## 4 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aircondit7.csv
## 5 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/amis.csv
## 6 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/aml.csv
## 7 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/beaver.csv
## 8 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/bigcity.csv
## 9 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/brambles.csv
## 10 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/breslow.csv
## 11 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/calcium.csv
## 12 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cane.csv
## 13 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/capability.csv
## 14 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/catsM.csv
## 15 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cav.csv
## 16 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cd4.csv
## 17 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cd4.nested.csv
## 18 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/channing.csv
## 19 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/city.csv
## 20 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/claridge.csv
## 21 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/cloth.csv
## 22 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/co.transfer.csv
## 23 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/coal.csv
## 24 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/darwin.csv
## 25 https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/boot/dogs.csv
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## Doc
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## 1149 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/mexico.html
## 1150 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/mid.html
## 1151 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/newpainters.html
## 1152 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/PErisk.html
## 1153 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/sanction.html
## 1154 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/seatshare.html
## 1155 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/sna.ex.html
## 1156 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/SupremeCourt.html
## 1157 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/swiss.html
## 1158 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/tobin.html
## 1159 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/turnout.html
## 1160 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/voteincome.html
## 1161 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/Weimar.html
## 1162 https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/Zelig/Zelig.url.html
dfNew <- dfgh %>% select (RowsNew = Rows, ColsNew = Cols,Package)
dfNew
## RowsNew ColsNew Package
## 1 60 3 boot
## 2 570 6 boot
## 3 12 1 boot
## 4 24 1 boot
## 5 8437 4 boot
## 6 23 3 boot
## 7 100 4 boot
## 8 49 2 boot
## 9 823 3 boot
## 10 10 5 boot
## 11 27 2 boot
## 12 180 5 boot
## 13 75 1 boot
## 14 97 3 boot
## 15 138 2 boot
## 16 20 2 boot
## 17 999 2 boot
## 18 462 5 boot
## 19 10 2 boot
## 20 37 2 boot
## 21 32 2 boot
## 22 7 2 boot
## 23 191 1 boot
## 24 15 1 boot
## 25 7 2 boot
## 26 30 3 boot
## 27 11 2 boot
## 28 50 3 boot
## 29 25 4 boot
## 30 26 2 boot
## 31 81 2 boot
## 32 44 3 boot
## 33 18 1 boot
## 34 1080 2 boot
## 35 205 7 boot
## 36 94 4 boot
## 37 469 6 boot
## 38 50 5 boot
## 39 53 7 boot
## 40 32 11 boot
## 41 346 1 boot
## 42 48 3 boot
## 43 50 2 boot
## 44 27 3 boot
## 45 28 4 boot
## 46 14 2 boot
## 47 60 2 boot
## 48 64 1 boot
## 49 79 7 boot
## 50 309 2 boot
## 51 108 3 carData
## 52 24 5 carData
## 53 43 4 carData
## 54 51 4 carData
## 55 5226 8 carData
## 56 66 6 carData
## 57 1525 10 carData
## 58 30 6 carData
## 59 945 4 carData
## 60 27 3 carData
## 61 16 2 carData
## 62 2700 8 carData
## 63 32 5 carData
## 64 1421 4 carData
## 65 200 5 carData
## 66 191 7 carData
## 67 434 5 carData
## 68 45 4 carData
## 69 66 9 carData
## 70 67 11 carData
## 71 110 4 carData
## 72 30 2 carData
## 73 82 6 carData
## 74 384 7 carData
## 75 28867 8 carData
## 76 20 3 carData
## 77 38 8 carData
## 78 39 12 carData
## 79 4152 9 carData
## 80 105 4 carData
## 81 84 9 carData
## 82 8 3 carData
## 83 90 8 carData
## 84 45 4 carData
## 85 84 8 carData
## 86 51920 14 carData
## 87 753 8 carData
## 88 16 17 carData
## 89 248 4 carData
## 90 26 6 carData
## 91 102 6 carData
## 92 11 6 carData
## 93 50 3 carData
## 94 20 2 carData
## 95 397 6 carData
## 96 7425 5 carData
## 97 48 14 carData
## 98 51 7 carData
## 99 1309 4 carData
## 100 261 3 carData
## 101 213 7 carData
## 102 22 2 carData
## 103 30351 4 carData
## 104 34 7 carData
## 105 3020 5 carData
## 106 263 4 carData
## 107 331 7 carData
## 108 27 4 carData
## 109 5381 6 carData
## 110 12 2 cluster
## 111 20 6 cluster
## 112 61 10 cluster
## 113 18 8 cluster
## 114 136 31 cluster
## 115 45 4 cluster
## 116 75 2 cluster
## 117 50 31 cluster
## 118 3000 2 cluster
## 119 601 18 COUNT
## 120 1959 6 COUNT
## 121 1798 4 COUNT
## 122 3589 6 COUNT
## 123 3589 6 COUNT
## 124 1127 3 COUNT
## 125 15 9 COUNT
## 126 147 7 COUNT
## 127 189 10 COUNT
## 128 6 7 COUNT
## 129 410 11 COUNT
## 130 2227 13 COUNT
## 131 1495 10 COUNT
## 132 52 8 COUNT
## 133 27326 4 COUNT
## 134 3874 15 COUNT
## 135 19609 17 COUNT
## 136 40 7 COUNT
## 137 6 4 COUNT
## 138 1316 4 COUNT
## 139 12 5 COUNT
## 140 22 2 DAAG
## 141 202 13 DAAG
## 142 15 4 DAAG
## 143 30 4 DAAG
## 144 32 9 DAAG
## 145 288 7 DAAG
## 146 60 3 DAAG
## 147 10 2 DAAG
## 148 9 10 DAAG
## 149 153 8 DAAG
## 150 109 22 DAAG
## 151 112 22 DAAG
## 152 113 22 DAAG
## 153 106 21 DAAG
## 154 102 15 DAAG
## 155 517 1 DAAG
## 156 48 9 DAAG
## 157 6 4 DAAG
## 158 100 1 DAAG
## 159 30 11 DAAG
## 160 25 7 DAAG
## 161 99 10 DAAG
## 162 14 3 DAAG
## 163 15992 10 DAAG
## 164 2369 10 DAAG
## 165 429 10 DAAG
## 166 5960 8 DAAG
## 167 10 12 DAAG
## 168 120 4 DAAG
## 169 2000 13 DAAG
## 170 72 3 DAAG
## 171 2042 2 DAAG
## 172 1096 2 DAAG
## 173 5788 5 DAAG
## 174 7 2 DAAG
## 175 9 2 DAAG
## 176 7 2 DAAG
## 177 5 2 DAAG
## 178 43 14 DAAG
## 179 212 10 DAAG
## 180 100 2 DAAG
## 181 128 2 DAAG
## 182 9 7 DAAG
## 183 56 2 DAAG
## 184 92 4 DAAG
## 185 18 5 DAAG
## 186 3121 11 DAAG
## 187 3121 11 DAAG
## 188 35 3 DAAG
## 189 56 4 DAAG
## 190 35 6 DAAG
## 191 10 6 DAAG
## 192 15 3 DAAG
## 193 28 3 DAAG
## 194 26 3 DAAG
## 195 94 12 DAAG
## 196 52 4 DAAG
## 197 53 2 DAAG
## 198 24 7 DAAG
## 199 48 4 DAAG
## 200 286 9 DAAG
## 201 61 8 DAAG
## 202 62 4 DAAG
## 203 62 9 DAAG
## 204 20 3 DAAG
## 205 39 2 DAAG
## 206 30 1 DAAG
## 207 9 2 DAAG
## 208 311 2 DAAG
## 209 33 2 DAAG
## 210 1295 10 DAAG
## 211 24 2 DAAG
## 212 17 2 DAAG
## 213 12 2 DAAG
## 214 6367 12 DAAG
## 215 41 4 DAAG
## 216 26217 15 DAAG
## 217 56 3 DAAG
## 218 23 4 DAAG
## 219 445 10 DAAG
## 220 2675 10 DAAG
## 221 313 10 DAAG
## 222 252 10 DAAG
## 223 722 10 DAAG
## 224 2787 10 DAAG
## 225 12 4 DAAG
## 226 23 4 DAAG
## 227 45 11 DAAG
## 228 9 2 DAAG
## 229 104 14 DAAG
## 230 7 3 DAAG
## 231 253 5 DAAG
## 232 5 2 DAAG
## 233 227 4 DAAG
## 234 2490 10 DAAG
## 235 253 10 DAAG
## 236 128 10 DAAG
## 237 77 5 DAAG
## 238 65 7 DAAG
## 239 4 3 DAAG
## 240 72 7 DAAG
## 241 103 641 DAAG
## 242 10 2 DAAG
## 243 1385 7 DAAG
## 244 5 2 DAAG
## 245 95 20 DAAG
## 246 8 2 DAAG
## 247 192 14 DAAG
## 248 2780 1 DAAG
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## 250 4601 7 DAAG
## 251 324 8 DAAG
## 252 12 2 DAAG
## 253 182 9 DAAG
## 254 24 2 DAAG
## 255 27 3 DAAG
## 256 36 8 DAAG
## 257 345 5 DAAG
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## 260 40 5 DAAG
## 261 6 8 datasets
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## 311 70 1 datasets
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## 313 19 2 datasets
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## 315 1000 5 datasets
## 316 400 3 datasets
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## 340 87 61 datasets
## 341 54 3 datasets
## 342 15 2 datasets
## 343 7 7 datasets
## 344 100 2 datasets
## 345 40 5 Ecdat
## 346 90 6 Ecdat
## 347 30 6 Ecdat
## 348 211 71 Ecdat
## 349 4877 18 Ecdat
## 350 126 12 Ecdat
## 351 1055 13 Ecdat
## 352 23972 6 Ecdat
## 353 1729 11 Ecdat
## 354 1519 10 Ecdat
## 355 1472 4 Ecdat
## 356 516 5 Ecdat
## 357 4654 70 Ecdat
## 358 420 17 Ecdat
## 359 2798 14 Ecdat
## 360 1380 9 Ecdat
## 361 528 9 Ecdat
## 362 400 13 Ecdat
## 363 6259 10 Ecdat
## 364 200 2 Ecdat
## 365 11130 3 Ecdat
## 366 3292 14 Ecdat
## 367 29 4 Ecdat
## 368 630 24 Ecdat
## 369 2528 7 Ecdat
## 370 360 4 Ecdat
## 371 308 5 Ecdat
## 372 778 4 Ecdat
## 373 485 4 Ecdat
## 374 5190 15 Ecdat
## 375 20186 15 Ecdat
## 376 4266 2 Ecdat
## 377 158 8 Ecdat
## 378 601 9 Ecdat
## 379 336 10 Ecdat
## 380 1182 12 Ecdat
## 381 276 9 Ecdat
## 382 227 13 Ecdat
## 383 1867 8 Ecdat
## 384 342 6 Ecdat
## 385 758 20 Ecdat
## 386 200 5 Ecdat
## 387 250 18 Ecdat
## 388 2381 13 Ecdat
## 389 900 21 Ecdat
## 390 506 15 Ecdat
## 391 1151 9 Ecdat
## 392 22272 13 Ecdat
## 393 2381 13 Ecdat
## 394 546 12 Ecdat
## 395 168 2 Ecdat
## 396 30 4 Ecdat
## 397 9270 3 Ecdat
## 398 66 22 Ecdat
## 399 58 2 Ecdat
## 400 531 10 Ecdat
## 401 180 10 Ecdat
## 402 1827 22 Ecdat
## 403 4956 7 Ecdat
## 404 22 9 Ecdat
## 405 5320 7 Ecdat
## 406 569 4 Ecdat
## 407 16 4 Ecdat
## 408 200 3 Ecdat
## 409 168 7 Ecdat
## 410 4360 12 Ecdat
## 411 25 9 Ecdat
## 412 609 8 Ecdat
## 413 220 17 Ecdat
## 414 5574 15 Ecdat
## 415 27 3 Ecdat
## 416 491 5 Ecdat
## 417 453 9 Ecdat
## 418 840 7 Ecdat
## 419 50 5 Ecdat
## 420 128 4 Ecdat
## 421 164 5 Ecdat
## 422 90 4 Ecdat
## 423 753 18 Ecdat
## 424 2385 5 Ecdat
## 425 50 2 Ecdat
## 426 312 7 Ecdat
## 427 159 8 Ecdat
## 428 206 45 Ecdat
## 429 11 2 Ecdat
## 430 4406 19 Ecdat
## 431 53 11 Ecdat
## 432 642 3 Ecdat
## 433 872 7 Ecdat
## 434 1730 18 Ecdat
## 435 1629 7 Ecdat
## 436 132 2 Ecdat
## 437 4 12 Ecdat
## 438 778 4 Ecdat
## 439 186 5 Ecdat
## 440 418 12 Ecdat
## 441 816 10 Ecdat
## 442 4856 8 Ecdat
## 443 5225 17 Ecdat
## 444 3010 28 Ecdat
## 445 41 3 Ecdat
## 446 659 8 Ecdat
## 447 2783 1 Ecdat
## 448 5748 8 Ecdat
## 449 62 2 Ecdat
## 450 566 2 Ecdat
## 451 108 3 Ecdat
## 452 3250 7 Ecdat
## 453 188 3 Ecdat
## 454 46 25 Ecdat
## 455 2724 9 Ecdat
## 456 2929 11 Ecdat
## 457 25 5 Ecdat
## 458 2675 10 Ecdat
## 459 13705 8 Ecdat
## 460 3343 11 Ecdat
## 461 452 12 Ecdat
## 462 62 17 Ecdat
## 463 29 5 Ecdat
## 464 84 7 Ecdat
## 465 259 12 Ecdat
## 466 76 10 Ecdat
## 467 7 10 Ecdat
## 468 5999 11 Ecdat
## 469 27765 12 Ecdat
## 470 4165 12 Ecdat
## 471 3294 4 Ecdat
## 472 3382 12 Ecdat
## 473 778 4 Ecdat
## 474 2412 10 Ecdat
## 475 6146 1 evir
## 476 2167 1 evir
## 477 35 1 evir
## 478 154 1 evir
## 479 6146 1 evir
## 480 8415 1 evir
## 481 6985 1 evir
## 482 5666 7 gamclass
## 483 9 3 gamclass
## 484 151158 17 gamclass
## 485 72548 24 gamclass
## 486 64881 24 gamclass
## 487 51 91 gamclass
## 488 1000 21 gamclass
## 489 131 19 gamclass
## 490 263 18 gap
## 491 353 8 gap
## 492 186 24 gap
## 493 387 212 gap
## 494 127 13 gap
## 495 432 10 gap
## 496 271 8 gap
## 497 51 6 gap
## 498 85 4 gap
## 499 340 19 gap
## 500 306 5 gap
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## 502 499 23 gap
## 503 825 22 gap
## 504 861 7 geepack
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## 512 53940 10 ggplot2
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## 515 5625 3 ggplot2
## 516 657 4 ggplot2
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## 518 234 11 ggplot2
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## 520 11 4 ggplot2
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## 522 8602 9 ggplot2
## 523 82 7 HistData
## 524 10 11 HistData
## 525 45 2 HistData
## 526 29 3 HistData
## 527 16 2 HistData
## 528 38 15 HistData
## 529 11 4 HistData
## 530 11 4 HistData
## 531 60 3 HistData
## 532 70 6 HistData
## 533 36 3 HistData
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## 535 934 8 HistData
## 536 86 23 HistData
## 537 84 4 HistData
## 538 50 4 HistData
## 539 61 4 HistData
## 540 12 9 HistData
## 541 924 3 HistData
## 542 3000 2 HistData
## 543 100 1 HistData
## 544 20 5 HistData
## 545 20 3 HistData
## 546 9 4 HistData
## 547 51 5 HistData
## 548 24 10 HistData
## 549 468 6 HistData
## 550 746 6 HistData
## 551 8 6 HistData
## 552 516 5 HistData
## 553 72 4 HistData
## 554 779 84 HistData
## 555 44 3 HistData
## 556 578 3 HistData
## 557 578 3 HistData
## 558 13 4 HistData
## 559 1241 4 HistData
## 560 18 6 HistData
## 561 14 4 HistData
## 562 53 3 HistData
## 563 12 4 HistData
## 564 36 3 HistData
## 565 20 20 HistData
## 566 15 5 HistData
## 567 25 3 HSAUR
## 568 7 4 HSAUR
## 569 13 7 HSAUR
## 570 69 2 HSAUR
## 571 31 3 HSAUR
## 572 100 8 HSAUR
## 573 24 7 HSAUR
## 574 47 2 HSAUR
## 575 236 6 HSAUR
## 576 2000 8 HSAUR
## 577 61 3 HSAUR
## 578 22 4 HSAUR
## 579 25 8 HSAUR
## 580 198 3 HSAUR
## 581 44 3 HSAUR
## 582 11 6 HSAUR
## 583 24 3 HSAUR
## 584 33 9 HSAUR
## 585 12 3 HSAUR
## 586 101 3 HSAUR
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## 590 45 9 HSAUR
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## 597 150 5 HSAUR
## 598 26 4 HSAUR
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## 603 61 4 HSAUR
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## 609 27 4 hwde
## 610 392 9 ISLR
## 611 5822 86 ISLR
## 612 400 11 ISLR
## 613 777 18 ISLR
## 614 400 12 ISLR
## 615 10000 4 ISLR
## 616 322 20 ISLR
## 617 64 6831 ISLR
## 618 1070 18 ISLR
## 619 100 2 ISLR
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## 622 1089 9 ISLR
## 623 295 3 KMsurv
## 624 101 3 KMsurv
## 625 34 4 KMsurv
## 626 45 4 KMsurv
## 627 152 3 KMsurv
## 628 95 3 KMsurv
## 629 927 10 KMsurv
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## 672 28 2 MASS
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## 675 114 4 MASS
## 676 100 4 MASS
## 677 699 11 MASS
## 678 189 10 MASS
## 679 506 14 MASS
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## 682 93 27 MASS
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## 688 200 8 MASS
## 689 27 3 MASS
## 690 15 1 MASS
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## 707 64 5 MASS
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## 710 133 2 MASS
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## 715 40 3 MASS
## 716 60 3 MASS
## 717 66 1 MASS
## 718 2287 6 MASS
## 719 24 5 MASS
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## 721 72 4 MASS
## 722 1097 7 MASS
## 723 54 5 MASS
## 724 32 6 MASS
## 725 24 2 MASS
## 726 332 8 MASS
## 727 200 8 MASS
## 728 300 8 MASS
## 729 146 5 MASS
## 730 60 5 MASS
## 731 26 6 MASS
## 732 20 5 MASS
## 733 30 3 MASS
## 734 40 5 MASS
## 735 10 2 MASS
## 736 18 1 MASS
## 737 256 7 MASS
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## 742 2780 1 MASS
## 743 14 2 MASS
## 744 23 3 MASS
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## 746 1000 3 MASS
## 747 250 3 MASS
## 748 52 3 MASS
## 749 184 4 MASS
## 750 65 11 MASS
## 751 47 16 MASS
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## 754 56 3 MASS
## 755 52 2 MASS
## 756 1000 7 mediation
## 757 2000 7 mediation
## 758 265 15 mediation
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## 873 123 6 psych
## 874 9 9 psych
## 875 9 9 psych
## 876 9 9 psych
## 877 9 9 psych
## 878 16 10 psych
## 879 161 14 quantreg
## 880 5 2 quantreg
## 881 38 3 quantreg
## 882 235 2 quantreg
## 883 695 2 quantreg
## 884 107 4 quantreg
## 885 575 18 quantreg
## 886 696 9 reshape2
## 887 2 5 reshape2
## 888 244 7 reshape2
## 889 23 5 robustbase
## 890 31 4 robustbase
## 891 44 7 robustbase
## 892 366 14 robustbase
## 893 65 2 robustbase
## 894 58 4 robustbase
## 895 38 5 robustbase
## 896 24 4 robustbase
## 897 19 2 robustbase
## 898 20 6 robustbase
## 899 428 2 robustbase
## 900 117 9 robustbase
## 901 10 1 robustbase
## 902 25 3 robustbase
## 903 50 6 robustbase
## 904 59 11 robustbase
## 905 12 2 robustbase
## 906 150 4 robustbase
## 907 75 4 robustbase
## 908 12 3 robustbase
## 909 13 2 robustbase
## 910 20 2 robustbase
## 911 201 1 robustbase
## 912 86 8 robustbase
## 913 8088 4 robustbase
## 914 18 2 robustbase
## 915 18 3 robustbase
## 916 20 2 robustbase
## 917 151 9 robustbase
## 918 62 8 robustbase
## 919 1573 5 robustbase
## 920 28 4 robustbase
## 921 9 2 robustbase
## 922 47 2 robustbase
## 923 24 2 robustbase
## 924 38 10 robustbase
## 925 39 3 robustbase
## 926 63 7 robustbase
## 927 20 6 robustbase
## 928 60 8 rpart
## 929 111 34 rpart
## 930 117 5 rpart
## 931 81 4 rpart
## 932 720 6 rpart
## 933 146 8 rpart
## 934 6208 25 sandwich
## 935 20 7 sandwich
## 936 5000 4 sandwich
## 937 51 2 sandwich
## 938 75 11 sem
## 939 1529 4 sem
## 940 22 10 sem
## 941 20 5 sem
## 942 32 6 sem
## 943 15 3 Stat2Data
## 944 18 7 Stat2Data
## 945 36 4 Stat2Data
## 946 100 9 Stat2Data
## 947 15 7 Stat2Data
## 948 18 3 Stat2Data
## 949 84 12 Stat2Data
## 950 500 3 Stat2Data
## 951 123 9 Stat2Data
## 952 17 7 Stat2Data
## 953 100 7 Stat2Data
## 954 21 2 Stat2Data
## 955 64 2 Stat2Data
## 956 267 18 Stat2Data
## 957 36 4 Stat2Data
## 958 2 4 Stat2Data
## 959 21 3 Stat2Data
## 960 60 8 Stat2Data
## 961 28 7 Stat2Data
## 962 108 8 Stat2Data
## 963 237 2 Stat2Data
## 964 48 3 Stat2Data
## 965 120 2 Stat2Data
## 966 43 13 Stat2Data
## 967 351 6 Stat2Data
## 968 307 6 Stat2Data
## 969 51 7 Stat2Data
## 970 16 3 Stat2Data
## 971 24 9 Stat2Data
## 972 333 10 Stat2Data
## 973 51 7 Stat2Data
## 974 100 9 Stat2Data
## 975 1664 4 Stat2Data
## 976 2048 3 Stat2Data
## 977 512 4 Stat2Data
## 978 12 3 Stat2Data
## 979 219 10 Stat2Data
## 980 35 4 Stat2Data
## 981 464 7 Stat2Data
## 982 51 2 Stat2Data
## 983 125 7 Stat2Data
## 984 1055 9 Stat2Data
## 985 36 5 Stat2Data
## 986 1592 10 Stat2Data
## 987 908 19 Stat2Data
## 988 838 2 Stat2Data
## 989 577 3 Stat2Data
## 990 96 3 Stat2Data
## 991 46 6 Stat2Data
## 992 147 22 Stat2Data
## 993 50 5 Stat2Data
## 994 20 3 Stat2Data
## 995 200 9 Stat2Data
## 996 9 2 Stat2Data
## 997 435 9 Stat2Data
## 998 52 4 Stat2Data
## 999 198 5 Stat2Data
## 1000 8 2 Stat2Data
## 1001 51 9 Stat2Data
## 1002 26 2 Stat2Data
## 1003 140 8 Stat2Data
## 1004 1127 9 Stat2Data
## 1005 56 5 Stat2Data
## 1006 11 3 Stat2Data
## 1007 2696 16 Stat2Data
## 1008 55 11 Stat2Data
## 1009 36 3 Stat2Data
## 1010 305 7 Stat2Data
## 1011 83 16 Stat2Data
## 1012 37 2 Stat2Data
## 1013 30 21 Stat2Data
## 1014 39 2 Stat2Data
## 1015 1450 15 Stat2Data
## 1016 32 10 Stat2Data
## 1017 52 7 Stat2Data
## 1018 18 7 Stat2Data
## 1019 24 2 Stat2Data
## 1020 450 4 Stat2Data
## 1021 67 3 Stat2Data
## 1022 68 8 Stat2Data
## 1023 56 4 Stat2Data
## 1024 12 3 Stat2Data
## 1025 1000 15 Stat2Data
## 1026 59 9 Stat2Data
## 1027 102 11 Stat2Data
## 1028 12 3 Stat2Data
## 1029 60 5 Stat2Data
## 1030 30 3 Stat2Data
## 1031 232 7 Stat2Data
## 1032 587 2 Stat2Data
## 1033 5 4 Stat2Data
## 1034 44 9 Stat2Data
## 1035 16 2 Stat2Data
## 1036 12 27 Stat2Data
## 1037 12 4 Stat2Data
## 1038 30 13 Stat2Data
## 1039 48 5 Stat2Data
## 1040 24 3 Stat2Data
## 1041 36 2 Stat2Data
## 1042 116 3 Stat2Data
## 1043 14 5 Stat2Data
## 1044 21 3 Stat2Data
## 1045 480 4 Stat2Data
## 1046 30 2 Stat2Data
## 1047 90 8 Stat2Data
## 1048 211 5 Stat2Data
## 1049 1313 6 Stat2Data
## 1050 2 4 Stat2Data
## 1051 16 4 Stat2Data
## 1052 14 3 Stat2Data
## 1053 25 2 Stat2Data
## 1054 50 2 Stat2Data
## 1055 24 2 Stat2Data
## 1056 38 3 Stat2Data
## 1057 36 2 Stat2Data
## 1058 33 2 Stat2Data
## 1059 40 4 Stat2Data
## 1060 13387 6 Stat2Data
## 1061 500 6 Stat2Data
## 1062 340 7 survival
## 1063 228 10 survival
## 1064 203 16 survival
## 1065 1858 16 survival
## 1066 7874 11 survival
## 1067 70 2 survival
## 1068 172 8 survival
## 1069 76 7 survival
## 1070 23 3 survival
## 1071 838 4 survival
## 1072 228 10 survival
## 1073 241 12 survival
## 1074 1384 10 survival
## 1075 646 7 survival
## 1076 4028 9 survival
## 1077 26 6 survival
## 1078 418 20 survival
## 1079 300 5 survival
## 1080 394 9 survival
## 1081 767 8 survival
## 1082 184 5 survival
## 1083 20 3 survival
## 1084 815 6 survival
## 1085 101 42 survival
## 1086 137 8 survival
## 1087 606 9 texmex
## 1088 154 1 texmex
## 1089 65 2 texmex
## 1090 17531 1 texmex
## 1091 578 5 texmex
## 1092 2894 2 texmex
## 1093 532 5 texmex
## 1094 84 5 vcd
## 1095 322 25 vcd
## 1096 20 4 vcd
## 1097 14018 7 vcd
## 1098 80 3 vcd
## 1099 24 2 vcd
## 1100 36 4 vcd
## 1101 180 5 vcd
## 1102 24 4 vcd
## 1103 7 2 vcd
## 1104 154 4 vcd
## 1105 5 2 vcd
## 1106 9 3 vcd
## 1107 8 4 vcd
## 1108 40 5 vcd
## 1109 18 8 vcd
## 1110 4 8 vcd
## 1111 12 4 vcd
## 1112 16 5 vcd
## 1113 16 5 vcd
## 1114 36 5 vcd
## 1115 64 3 vcd
## 1116 256 9 vcd
## 1117 13 2 vcd
## 1118 16 3 vcd
## 1119 24 6 vcd
## 1120 306 6 vcd
## 1121 24 5 vcd
## 1122 25 3 vcd
## 1123 32 4 vcd
## 1124 280 4 vcd
## 1125 11 2 vcd
## 1126 11 2 vcd
## 1127 65 8 Zelig
## 1128 78 6 Zelig
## 1129 96 9 Zelig
## 1130 314 7 Zelig
## 1131 314 8 Zelig
## 1132 10 4 Zelig
## 1133 450 11 Zelig
## 1134 450 11 Zelig
## 1135 0 7 Zelig
## 1136 20 7 Zelig
## 1137 36 5 Zelig
## 1138 314 5 Zelig
## 1139 2485 5 Zelig
## 1140 2485 5 Zelig
## 1141 2485 5 Zelig
## 1142 2485 5 Zelig
## 1143 2485 5 Zelig
## 1144 2485 5 Zelig
## 1145 21 14 Zelig
## 1146 20 5 Zelig
## 1147 350 6 Zelig
## 1148 2 2 Zelig
## 1149 1359 33 Zelig
## 1150 3126 7 Zelig
## 1151 54 4 Zelig
## 1152 62 6 Zelig
## 1153 78 8 Zelig
## 1154 384 4 Zelig
## 1155 0 5 Zelig
## 1156 43 9 Zelig
## 1157 47 6 Zelig
## 1158 20 3 Zelig
## 1159 2000 5 Zelig
## 1160 1500 7 Zelig
## 1161 10 11 Zelig
## 1162 49 2 Zelig
dfNew2 <- dfNew %>% filter (RowsNew >= 1600)
head(dfNew2)
## RowsNew ColsNew Package
## 1 8437 4 boot
## 2 5226 8 carData
## 3 2700 8 carData
## 4 28867 8 carData
## 5 4152 9 carData
## 6 51920 14 carData
summary (dfNew2)
## RowsNew ColsNew Package
## Min. : 1629 Min. : 1.00 Length:150
## 1st Qu.: 2680 1st Qu.: 5.00 Class :character
## Median : 3885 Median : 8.00 Mode :character
## Mean : 11228 Mean : 12.34
## 3rd Qu.: 6400 3rd Qu.: 13.00
## Max. :372864 Max. :145.00
str(dfNew2)
## 'data.frame': 150 obs. of 3 variables:
## $ RowsNew: int 8437 5226 2700 28867 4152 51920 7425 30351 3020 5381 ...
## $ ColsNew: int 4 8 8 8 9 14 5 4 5 6 ...
## $ Package: chr "boot" "carData" "carData" "carData" ...
dfNew2
## RowsNew ColsNew Package
## 1 8437 4 boot
## 2 5226 8 carData
## 3 2700 8 carData
## 4 28867 8 carData
## 5 4152 9 carData
## 6 51920 14 carData
## 7 7425 5 carData
## 8 30351 4 carData
## 9 3020 5 carData
## 10 5381 6 carData
## 11 3000 2 cluster
## 12 1959 6 COUNT
## 13 1798 4 COUNT
## 14 3589 6 COUNT
## 15 3589 6 COUNT
## 16 2227 13 COUNT
## 17 27326 4 COUNT
## 18 3874 15 COUNT
## 19 19609 17 COUNT
## 20 15992 10 DAAG
## 21 2369 10 DAAG
## 22 5960 8 DAAG
## 23 2000 13 DAAG
## 24 2042 2 DAAG
## 25 5788 5 DAAG
## 26 3121 11 DAAG
## 27 3121 11 DAAG
## 28 6367 12 DAAG
## 29 26217 15 DAAG
## 30 2675 10 DAAG
## 31 2787 10 DAAG
## 32 2490 10 DAAG
## 33 2780 1 DAAG
## 34 4601 7 DAAG
## 35 1860 4 datasets
## 36 3177 2 datasets
## 37 2820 2 datasets
## 38 7980 2 datasets
## 39 4877 18 Ecdat
## 40 23972 6 Ecdat
## 41 1729 11 Ecdat
## 42 4654 70 Ecdat
## 43 2798 14 Ecdat
## 44 6259 10 Ecdat
## 45 11130 3 Ecdat
## 46 3292 14 Ecdat
## 47 2528 7 Ecdat
## 48 5190 15 Ecdat
## 49 20186 15 Ecdat
## 50 4266 2 Ecdat
## 51 1867 8 Ecdat
## 52 2381 13 Ecdat
## 53 22272 13 Ecdat
## 54 2381 13 Ecdat
## 55 9270 3 Ecdat
## 56 1827 22 Ecdat
## 57 4956 7 Ecdat
## 58 5320 7 Ecdat
## 59 4360 12 Ecdat
## 60 5574 15 Ecdat
## 61 2385 5 Ecdat
## 62 4406 19 Ecdat
## 63 1730 18 Ecdat
## 64 1629 7 Ecdat
## 65 4856 8 Ecdat
## 66 5225 17 Ecdat
## 67 3010 28 Ecdat
## 68 2783 1 Ecdat
## 69 5748 8 Ecdat
## 70 3250 7 Ecdat
## 71 2724 9 Ecdat
## 72 2929 11 Ecdat
## 73 2675 10 Ecdat
## 74 13705 8 Ecdat
## 75 3343 11 Ecdat
## 76 5999 11 Ecdat
## 77 27765 12 Ecdat
## 78 4165 12 Ecdat
## 79 3294 4 Ecdat
## 80 3382 12 Ecdat
## 81 2412 10 Ecdat
## 82 6146 1 evir
## 83 2167 1 evir
## 84 6146 1 evir
## 85 8415 1 evir
## 86 6985 1 evir
## 87 5666 7 gamclass
## 88 151158 17 gamclass
## 89 72548 24 gamclass
## 90 64881 24 gamclass
## 91 3000 10 gap
## 92 2148 4 geepack
## 93 53940 10 ggplot2
## 94 2870 4 ggplot2
## 95 5625 3 ggplot2
## 96 8602 9 ggplot2
## 97 3000 2 HistData
## 98 2000 8 HSAUR
## 99 5822 86 ISLR
## 100 10000 4 ISLR
## 101 3000 11 ISLR
## 102 3470 15 KMsurv
## 103 73421 7 lme4
## 104 7584 9 lme4
## 105 2843 7 MASS
## 106 2287 6 MASS
## 107 2780 1 MASS
## 108 2000 7 mediation
## 109 9679 13 mediation
## 110 372864 7 mosaicData
## 111 7305 8 mosaicData
## 112 1728 16 mosaicData
## 113 8636 5 mosaicData
## 114 3655 25 mosaicData
## 115 5320 7 plm
## 116 4360 12 plm
## 117 1768 9 plm
## 118 5904 8 plm
## 119 3250 7 plm
## 120 4165 12 plm
## 121 21699 22 plyr
## 122 1807 8 pscl
## 123 2800 28 psych
## 124 3570 57 psych
## 125 3896 92 psych
## 126 6411 79 psych
## 127 5378 23 psych
## 128 4000 145 psych
## 129 3032 23 psych
## 130 8088 4 robustbase
## 131 6208 25 sandwich
## 132 5000 4 sandwich
## 133 1664 4 Stat2Data
## 134 2048 3 Stat2Data
## 135 2696 16 Stat2Data
## 136 13387 6 Stat2Data
## 137 1858 16 survival
## 138 7874 11 survival
## 139 4028 9 survival
## 140 17531 1 texmex
## 141 2894 2 texmex
## 142 14018 7 vcd
## 143 2485 5 Zelig
## 144 2485 5 Zelig
## 145 2485 5 Zelig
## 146 2485 5 Zelig
## 147 2485 5 Zelig
## 148 2485 5 Zelig
## 149 3126 7 Zelig
## 150 2000 5 Zelig
#4. Use the summary function to create an overview of your new data frame. The print the mean and median for the same two attributes. Please compare.
dfNew2 %>% summarise(mean(RowsNew))
## mean(RowsNew)
## 1 11227.75
dfNew2 %>% summarise((mean(ColsNew)))
## (mean(ColsNew))
## 1 12.34
dfNew2 %>% summarise((median(RowsNew)))
## (median(RowsNew))
## 1 3885
dfNew2 %>% summarise((median(ColsNew)))
## (median(ColsNew))
## 1 8
# 5.to change the value of DAAG in the package into DAAGpack
#For at least 3 values in a column please rename so that every value in that column is renamed.
dfNew2$ Package [dfNew2$Package== 'DAAG'] <-'DAAGPack'
dfNew2$ Package [dfNew2$Package== 'boot'] <-'bootPack'
dfNew2$ Package [dfNew2$Package== 'Ecdat'] <-'EcdatPack'
rbind (head(dfNew2), tail(dfNew2))
## RowsNew ColsNew Package
## 1 8437 4 bootPack
## 2 5226 8 carData
## 3 2700 8 carData
## 4 28867 8 carData
## 5 4152 9 carData
## 6 51920 14 carData
## 145 2485 5 Zelig
## 146 2485 5 Zelig
## 147 2485 5 Zelig
## 148 2485 5 Zelig
## 149 3126 7 Zelig
## 150 2000 5 Zelig
dfNew2
## RowsNew ColsNew Package
## 1 8437 4 bootPack
## 2 5226 8 carData
## 3 2700 8 carData
## 4 28867 8 carData
## 5 4152 9 carData
## 6 51920 14 carData
## 7 7425 5 carData
## 8 30351 4 carData
## 9 3020 5 carData
## 10 5381 6 carData
## 11 3000 2 cluster
## 12 1959 6 COUNT
## 13 1798 4 COUNT
## 14 3589 6 COUNT
## 15 3589 6 COUNT
## 16 2227 13 COUNT
## 17 27326 4 COUNT
## 18 3874 15 COUNT
## 19 19609 17 COUNT
## 20 15992 10 DAAGPack
## 21 2369 10 DAAGPack
## 22 5960 8 DAAGPack
## 23 2000 13 DAAGPack
## 24 2042 2 DAAGPack
## 25 5788 5 DAAGPack
## 26 3121 11 DAAGPack
## 27 3121 11 DAAGPack
## 28 6367 12 DAAGPack
## 29 26217 15 DAAGPack
## 30 2675 10 DAAGPack
## 31 2787 10 DAAGPack
## 32 2490 10 DAAGPack
## 33 2780 1 DAAGPack
## 34 4601 7 DAAGPack
## 35 1860 4 datasets
## 36 3177 2 datasets
## 37 2820 2 datasets
## 38 7980 2 datasets
## 39 4877 18 EcdatPack
## 40 23972 6 EcdatPack
## 41 1729 11 EcdatPack
## 42 4654 70 EcdatPack
## 43 2798 14 EcdatPack
## 44 6259 10 EcdatPack
## 45 11130 3 EcdatPack
## 46 3292 14 EcdatPack
## 47 2528 7 EcdatPack
## 48 5190 15 EcdatPack
## 49 20186 15 EcdatPack
## 50 4266 2 EcdatPack
## 51 1867 8 EcdatPack
## 52 2381 13 EcdatPack
## 53 22272 13 EcdatPack
## 54 2381 13 EcdatPack
## 55 9270 3 EcdatPack
## 56 1827 22 EcdatPack
## 57 4956 7 EcdatPack
## 58 5320 7 EcdatPack
## 59 4360 12 EcdatPack
## 60 5574 15 EcdatPack
## 61 2385 5 EcdatPack
## 62 4406 19 EcdatPack
## 63 1730 18 EcdatPack
## 64 1629 7 EcdatPack
## 65 4856 8 EcdatPack
## 66 5225 17 EcdatPack
## 67 3010 28 EcdatPack
## 68 2783 1 EcdatPack
## 69 5748 8 EcdatPack
## 70 3250 7 EcdatPack
## 71 2724 9 EcdatPack
## 72 2929 11 EcdatPack
## 73 2675 10 EcdatPack
## 74 13705 8 EcdatPack
## 75 3343 11 EcdatPack
## 76 5999 11 EcdatPack
## 77 27765 12 EcdatPack
## 78 4165 12 EcdatPack
## 79 3294 4 EcdatPack
## 80 3382 12 EcdatPack
## 81 2412 10 EcdatPack
## 82 6146 1 evir
## 83 2167 1 evir
## 84 6146 1 evir
## 85 8415 1 evir
## 86 6985 1 evir
## 87 5666 7 gamclass
## 88 151158 17 gamclass
## 89 72548 24 gamclass
## 90 64881 24 gamclass
## 91 3000 10 gap
## 92 2148 4 geepack
## 93 53940 10 ggplot2
## 94 2870 4 ggplot2
## 95 5625 3 ggplot2
## 96 8602 9 ggplot2
## 97 3000 2 HistData
## 98 2000 8 HSAUR
## 99 5822 86 ISLR
## 100 10000 4 ISLR
## 101 3000 11 ISLR
## 102 3470 15 KMsurv
## 103 73421 7 lme4
## 104 7584 9 lme4
## 105 2843 7 MASS
## 106 2287 6 MASS
## 107 2780 1 MASS
## 108 2000 7 mediation
## 109 9679 13 mediation
## 110 372864 7 mosaicData
## 111 7305 8 mosaicData
## 112 1728 16 mosaicData
## 113 8636 5 mosaicData
## 114 3655 25 mosaicData
## 115 5320 7 plm
## 116 4360 12 plm
## 117 1768 9 plm
## 118 5904 8 plm
## 119 3250 7 plm
## 120 4165 12 plm
## 121 21699 22 plyr
## 122 1807 8 pscl
## 123 2800 28 psych
## 124 3570 57 psych
## 125 3896 92 psych
## 126 6411 79 psych
## 127 5378 23 psych
## 128 4000 145 psych
## 129 3032 23 psych
## 130 8088 4 robustbase
## 131 6208 25 sandwich
## 132 5000 4 sandwich
## 133 1664 4 Stat2Data
## 134 2048 3 Stat2Data
## 135 2696 16 Stat2Data
## 136 13387 6 Stat2Data
## 137 1858 16 survival
## 138 7874 11 survival
## 139 4028 9 survival
## 140 17531 1 texmex
## 141 2894 2 texmex
## 142 14018 7 vcd
## 143 2485 5 Zelig
## 144 2485 5 Zelig
## 145 2485 5 Zelig
## 146 2485 5 Zelig
## 147 2485 5 Zelig
## 148 2485 5 Zelig
## 149 3126 7 Zelig
## 150 2000 5 Zelig