On Oct 17, 2012, at 7:23 AM, Charles Determan Jr wrote:
Greetings R users,
My goal is to generate quartile groups of each variable in my data
set. I
would like each experiment to have its designated group added as a
subsequent column. I can accomplish this individually with the
following
code:
brks <- with(data_variables,
cut2(var2, g=4))
#I don't want the actual numbers, I need a numbered group
data$test1=factor(brks, labels=1:4)
However, I cannot get a loop to work nor can I get a loop to add the
columns with an appropriate name (ex. quartile_variable). I have
tried
multiple different ways but can't seem to get it to work. I think
it would
begin something like this:
for(i in 11:ncol(survival_data_variables)){
brks=as.data.frame(with(survival_data_variables,
cut2(survival_data_variables[,i], g=4)))
Any assistance would be sincerely appreciated. I would like the
final data
set to have the following layout:
ID var1 var2 var3 var4 quartile var1
quartile var2 quartile var3 quartile var4
Here is a subset of my data to work with:
structure(list(ID = c(11112L, 11811L, 12412L, 12510L, 13111L,
20209L, 20612L, 20711L, 21510L, 22012L), var1 = c(106, 107,
116, 67, 76, 146, 89, 62, 65, 116), var2 = c(0, 0, 201,
558, 526, 555, 576, 0, 531, 649), var3 = c(70.67, 81.33,
93.67, 84.33, 52, 74, 114, 101, 80.33, 91.33), var4 = c(136,
139, 142, 138, 140, 140, 136, 139, 140, 139)), .Names = c("ID",
"var1", "var2", "var3", "var4"), row.names = c(NA,
10L), class = "data.frame")
require(Hmisc) # which is the package that provides cut2
dat$quart_var1 <- factor( cut2( dat$var1, g=4), labels=1:4)
dat
#------------------
ID var1 var2 var3 var4 quart_var1
1 11112 106 0 70.67 136 3
2 11811 107 0 81.33 139 3
3 12412 116 201 93.67 142 3
4 12510 67 558 84.33 138 1
5 13111 76 526 52.00 140 2
6 20209 146 555 74.00 140 4
7 20612 89 576 114.00 136 2
8 20711 62 0 101.00 139 1
9 21510 65 531 80.33 140 1
10 22012 116 649 91.33 139 3
That won't generalize well, so you could work with this version of the
same operation:
dat[paste("quart", names(dat)[2], sep="_")] <-
factor( cut2( dat[[ names(dat)[2] ]], g=4), labels=1:4)
--
David Winsemius, MD
Alameda, CA, USA
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