Hello,
You can use ?aggregate and ?head to do what you want. Try the following.
dat <- read.table(text="
ID COMPL SEX HEREDITY
1 0 1 2
1 0 1 2
1 3 1 2
2 0 0 1
2 1 0 1
2 2 0 1
2 2 0 1
3 0 0 1
3 0 0 1
3 0 0 1
3 0 0 1
3 2 0 1
4 0 1 2
4 0 1 2
", header = TRUE)
aggregate(. ~ ID, data = subset(dat, COMPL != 0), head, 1)
Hope this helps,
Rui Barradas
Em 23-02-2013 14:28, Tasnuva Tabassum escreveu:
I have a longitudinal competing risk data of the form:
ID COMPL SEX HEREDITY
1 0 1 2
1 0 1 2
1 3 1 2
2 0 0 1
2 1 0 1
2 2 0 1
2 2 0 1
3 0 0 1
3 0 0 1
3 0 0 1
3 0 0 1
3 2 0 1
4 0 1 2
4 0 1 2.
Where, COMPL= health complication of diabetic patients which has value
labels as 0= no complication,1=coronary heart disease, 2=retinopathy, 3=
nephropathy.
I want to select only the first complication that occurred to each patient.
What R function can I use?
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