Folks,
I have a data frame with 4861469 rows that contains an ip address
xxx.xxx.xxx.xxx as one of the columns. I want to assign a site to each
row based on IP ranges. To do this I have a function to split the ip
address as character into class A,B,C and D components. It works but is
horribly inefficient in terms of speed. I can't quite see how one of the
l/s/m/t/apply functions could be brought to bear on the problem. Does
anyone have any thoughts?
for(i in 1:4861469)
{
lst <-unlist(strsplit(data$ComputerName[i], "\\."))
data$IPA[i] <-lst[[1]]
data$IPB[i] <-lst[[2]]
data$IPC[i] <-lst[[3]]
data$IPD[i] <-lst[[4]]
rm(lst)
}
Andrew
Andrew Roberts
Children's Orthopaedic Surgeon
RJAH, Oswestry, UK
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