I have a data frame with 155,000 rows. One of the columns
represents the user id (of which about 10,000 are unique). I am
able to isolate 1000 of these user ids (stored in a list) that
I want to eliminate from the data set, but I don't know of an
efficient way to do this. Certainly this would be slow:
newdf<-df
for(i in listofbadusers) {
newdf<-subset(tmp,uid!=i)
}
is there a better approach?
I guess I could use the opposite logic and use a list of
good users and add their data to the new frame...
thanks,
pete
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