Importing Stata datasets into R

Option#1

barbarrier = read.csv("http://www.math.smith.edu/~nhorton/sleuth/case1102.csv")
barbarrier
##     BRAIN   LIVER TIME TREAT DAYS SEX WEIGHT LOSS TUMOR
## 1   41081 1456164  0.5    BD   10   F    239  5.9   221
## 2   44286 1602171  0.5    BD   10   F    225  4.0   246
## 3  102926 1601936  0.5    BD   10   F    224 -4.9    61
## 4   25927 1776411  0.5    BD   10   F    184  9.8   168
## 5   42643 1351184  0.5    BD   10   F    250  6.0   164
## 6   31342 1790863  0.5    NS   10   F    196  7.7   260
## 7   22815 1633386  0.5    NS   10   F    200  0.5    27
## 8   16629 1618757  0.5    NS   10   F    273  4.0   308
## 9   22315 1567602  0.5    NS   10   F    216  2.8    93
## 10  77961 1060057  3.0    BD   10   F    267  2.6    73
## 11  73178  715581  3.0    BD   10   F    263  1.1    25
## 12  76167  620145  3.0    BD   10   F    228  0.0   133
## 13 123730 1068423  3.0    BD    9   F    261  3.4   203
## 14  25569  721436  3.0    NS    9   F    253  5.9   159
## 15  33803 1019352  3.0    NS   10   F    234  0.1   264
## 16  24512  667785  3.0    NS   10   F    238  0.8    34
## 17  50545  961097  3.0    NS    9   F    230  7.0   146
## 18  50690 1220677  3.0    NS   10   F    207  1.5   212
## 19  84616   48815 24.0    BD   10   F    254  3.9   155
## 20  55153   16885 24.0    BD   10   M    256 -4.7   190
## 21  48829   22395 24.0    BD   10   M    247 -2.8   101
## 22  89454   83504 24.0    BD   11   F    198  4.2   214
## 23  37928   20323 24.0    NS   10   F    237  2.5   224
## 24  12816   15985 24.0    NS   10   M    293  3.1   151
## 25  23734   25895 24.0    NS   10   M    288  9.7   285
## 26  31097   33224 24.0    NS   11   F    236  5.9   380
## 27  35395    4142 72.0    BD   11   F    251  4.1    39
## 28  18270    2364 72.0    BD   10   F    223  4.0   153
## 29   5625    1979 72.0    BD   10   M    298 12.8   164
## 30   7497    1659 72.0    BD   10   M    260  7.3   364
## 31   6250     928 72.0    NS   10   M    272 11.0   484
## 32  11519    2423 72.0    NS   11   F    226  2.2   168
## 33   3184    1608 72.0    NS   10   M    249 -4.4   191
## 34   1334    3242 72.0    NS   10   F    240  6.7   159

Option #2

First we need to set up a way to download packages


install.packages(c("Hmisc", "rms"), repo = "http://R.research.att.com")
## 
## The downloaded binary packages are in
##  /var/folders/iJ/iJ9eXWNAHciTmS8gWVc7F++++TM/-Tmp-//RtmpRddfYD/downloaded_packages
library(rms)
library(Hmisc)

Now we can use stata.get to read in the Stata dataset

barbarrier2 <- stata.get("~/Bonnie/case1102_stata.dta")
## Loading required package: foreign
barbarrier2
##     brain   liver time treat days sex weight loss tumor
## 1   41081 1456164  0.5    BD   10   F    239  5.9   221
## 2   44286 1602171  0.5    BD   10   F    225  4.0   246
## 3  102926 1601936  0.5    BD   10   F    224 -4.9    61
## 4   25927 1776411  0.5    BD   10   F    184  9.8   168
## 5   42643 1351184  0.5    BD   10   F    250  6.0   164
## 6   31342 1790863  0.5    NS   10   F    196  7.7   260
## 7   22815 1633386  0.5    NS   10   F    200  0.5    27
## 8   16629 1618757  0.5    NS   10   F    273  4.0   308
## 9   22315 1567602  0.5    NS   10   F    216  2.8    93
## 10  77961 1060057  3.0    BD   10   F    267  2.6    73
## 11  73178  715581  3.0    BD   10   F    263  1.1    25
## 12  76167  620145  3.0    BD   10   F    228  0.0   133
## 13 123730 1068423  3.0    BD    9   F    261  3.4   203
## 14  25569  721436  3.0    NS    9   F    253  5.9   159
## 15  33803 1019352  3.0    NS   10   F    234  0.1   264
## 16  24512  667785  3.0    NS   10   F    238  0.8    34
## 17  50545  961097  3.0    NS    9   F    230  7.0   146
## 18  50690 1220677  3.0    NS   10   F    207  1.5   212
## 19  84616   48815 24.0    BD   10   F    254  3.9   155
## 20  55153   16885 24.0    BD   10   M    256 -4.7   190
## 21  48829   22395 24.0    BD   10   M    247 -2.8   101
## 22  89454   83504 24.0    BD   11   F    198  4.2   214
## 23  37928   20323 24.0    NS   10   F    237  2.5   224
## 24  12816   15985 24.0    NS   10   M    293  3.1   151
## 25  23734   25895 24.0    NS   10   M    288  9.7   285
## 26  31097   33224 24.0    NS   11   F    236  5.9   380
## 27  35395    4142 72.0    BD   11   F    251  4.1    39
## 28  18270    2364 72.0    BD   10   F    223  4.0   153
## 29   5625    1979 72.0    BD   10   M    298 12.8   164
## 30   7497    1659 72.0    BD   10   M    260  7.3   364
## 31   6250     928 72.0    NS   10   M    272 11.0   484
## 32  11519    2423 72.0    NS   11   F    226  2.2   168
## 33   3184    1608 72.0    NS   10   M    249 -4.4   191
## 34   1334    3242 72.0    NS   10   F    240  6.7   159