Hello, I searched the internet but i didn't find the answer for the next problem: I want to do a glm on a csv file consisting of 25 columns and 4 mln rows. Not all the columns are relevant. My problem is to read the data into R. Manipulate the data and then do a glm.
I've tried with: dd<-scan("myfile.csv",colClasses=classes) dat<-as.data.frame(dd) My question is: what is the right way to do is? Can someone give me a hint? Thanks, Arend [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.