>> glm( V0 ~ "HARRY" + "KLINE" + "Brown" + "Larry") > > No. You are mistaken. Assuming that V0 is defined and has the same length as > there are rows in that data.frame, then V1 and V2 would be the arguments in > the formula and they would not be quoted. > > ?glm # and work through the examples
With the example I meant that the factors in the vector V1 and V2 would be treated like individual binary/dummy variables. Back to my real question; Is there no other way to do this in R??? 2011/6/25 David Winsemius <dwinsem...@comcast.net>: > > On Jun 25, 2011, at 2:13 PM, Håvard Wahl Kongsgård wrote: > >> 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") > > No. You are mistaken. Assuming that V0 is defined and has the same length as > there are rows in that data.frame, then V1 and V2 would be the arguments in > the formula and they would not be quoted. > > ?glm # and work through the examples > >> >> 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 > > David Winsemius, MD > West Hartford, CT > > -- Håvard Wahl Kongsgård http://havard.security-review.net/ ______________________________________________ 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.