Hello,
That's an even simpler case for ?split.
dat <- read.table(text = "
id user IP
1 12 ip1
2 12 ip1
3 12 ip2
4 12 ip2
5 12 ip2
6 12 ip3
7 12 ip3
8 12 ip3
", header = TRUE)
split(dat, dat$IP)
Hope this helps,
Rui Barradas
Em 16-09-2013 22:57, srecko joksimovic escreveu:
Hi,
I had an example like this:
id user action
1 12 login
2 12 view
3 12 view
4 12 view
5 12 login
6 12 view
7 12 view
8 12 login
which I used to split using split(dat1,cumsum(dat1$action=="login")).
If I had a similar example:
id user IP
1 12 ip1
2 12 ip1
3 12 ip2
4 12 ip2
5 12 ip2
6 12 ip3
7 12 ip3
8 12 ip3
how can I split data frame to obtain the following structure:
#1
1 12 ip1
2 12 ip1
#2
3 12 ip2
4 12 ip2
5 12 ip2
#3
6 12 ip3
7 12 ip3
8 12 ip3
thanks,
Srecko
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