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. 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.
