Hi, sorry my question was not really clear |Are you very early in efforts at learning R? No, have been a long term user of R, but only use R for the statistical stuff.
The heart of the issue is that I have list of keywords that I want to analyse with a machine learning algorithm (20 000 keywords with a response variables). It's much like "micro" array data, but in my case it's not "genes", but instead keywords. To get it to work in R, I could create a data frame with multiple vectors containing different factors. That would look like this V1, V2, "Harry", "Kline" "Brown", "Larry" If I am not mistaken if I used V1 and V2 with the standard GLM function the result would be like glm( V0 ~ "HARRY" + "KLINE" + "Brown" + "Larry") Or I could create a complex ordered array where keywords are represented 1 and 0. If I used that in GLM I would get the same result with glm? But is there a better approach? -Håvard ______________________________________________ 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.
