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
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