Possible Duplicate:
How to convert a factor to an integer\numeric without a loss of information
I have a question about factor columns in a data.frame. I would like to convert the factor to numeric class, and try different things but my result is kind of weird. I have a dataframe like this:
head(tag)
KI_1 KI_2 KI_4 KI_5 KI_6 WT_1 WT_2 WT_3 WT_4 WT_6
AAAAAAAAAAAAAAAAA 32158 26474 4879 7657 23420 27362 33745 25479 5635 7500
AAAAAAAAAAAAAAAAC 1593 1287 287 419 1136 1370 1670 1173 318 443
AAAAAAAAAAAAAAAAG 366 244 63 86 193 313 329 258 74 81
AAAAAAAAAAAAAAAAT 12262 9067 611 1956 8869 10324 11679 9507 2089 1896
AAAAAAAAAAAAAAACA 68 57 16 28 49 70 75 46 27 22
AAAAAAAAAAAAAAACC 197 142 28 50 161 178 235 180 42 56
sapply(tag, class)
KI_1 KI_2 KI_4 KI_5 KI_6 WT_1 WT_2 WT_3 WT_4 WT_6
"factor" "factor" "factor" "factor" "factor" "factor" "factor" "factor" "factor" "factor"
I want to change de class "factor" to class "numeric". I think that the below solution is good, but if you look into my created table, al the values are changed. Is there a method to prevent this changing values? Or an other solution to get a numeric dataframe?
Thank you
tagwise1 <- transform(tag, KI_1 = as.numeric(KI_1), KI_2 = as.numeric(KI_2), KI_4 = as.numeric(KI_4), KI_5 = as.numeric(KI_5), KI_6 = as.numeric(KI_6), WT_1 = as.numeric(WT_1),WT_2 = as.numeric(WT_2),WT_3 = as.numeric(WT_3),WT_4 = as.numeric(WT_4),WT_6 = as.numeric(WT_6))
sapply(tagwise1, class)
KI_1 KI_2 KI_4 KI_5 KI_6 WT_1 WT_2 WT_3 WT_4 WT_6
"numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric"
head(tagwise1)
KI_1 KI_2 KI_4 KI_5 KI_6 WT_1 WT_2 WT_3 WT_4 WT_6
AAAAAAAAAAAAAAAAA 1661 1107 1529 2330 942 1379 1609 1053 2056 2111
AAAAAAAAAAAAAAAAC 692 310 1073 1711 148 442 721 184 1464 1585
AAAAAAAAAAAAAAAAG 1821 1020 1750 2485 736 1548 1584 1070 2341 2195
AAAAAAAAAAAAAAAAT 291 2319 1725 881 2203 44 212 2359 976 779
AAAAAAAAAAAAAAACA 2515 1830 519 1329 1592 2444 2498 1617 1294 955
AAAAAAAAAAAAAAACC 1013 427 1049 1882 540 816 1179 687 1758 1815
