On Thu, Jul 8, 2010 at 12:14 PM, Addi Wei <addi...@gmail.com> wrote: > > Hopefully simple question: What is the best way to name, and treat factor > columns for data that has lots of columns? > > This is my column list: > id pID50 D.1 D.2 D.3 D.4 D.5 , etc. all the way to D.185 > > I was under the impression from several R examples in pls that if you name > your columns like above, you should be able to simply call all the D factors > with "D", instead of going in and putting a plus sign between each column.
Hmm, I did not see this in the documentation (which does not mean it is not so). If you want to have every column in the model except id, you could use '.' all you would have to do is specifically remove the id column. This becomes messier if you had another k set of E.1 to k factors. See ?formula for how '.' works. miceD <- plsr(pID50 ~ . -id, ncomp = 10, data = micetitletest) > miceD <- plsr(pID50~D, ncomp=10,data = micetitletest) > Error in model.frame.default(formula = pID50 ~ D, data = micetitletest) : > invalid type (closure) for variable 'D' > > VS. > > miceD <- plsr(pID50 ~ D.1 + D.2 + D.3 + D.4 etc. to D.185 , ncomp=10, data = > micetitletest) > > What am I missing above that's causing that error message in bold? Is there > a better strategy for naming my columns in order to make R use easier? > > -- > View this message in context: > http://r.789695.n4.nabble.com/Column-header-strategy-tp2282740p2282740.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > -- Joshua Wiley Ph.D. Student, Health Psychology University of California, Los Angeles http://www.joshuawiley.com/ ______________________________________________ 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.
