It's not your questions, Cobbler, but could you PLEASE just do what we asked for? Copy-paste the following in R and copy-paste ALL output you get in your next mail.
test.vowel <- vowel_features[,1:10] test.mask <- mask_features[,1:10] dput(test.vowel) dput(test.mask) I don't know whether your vowel_features is a list or a data-frame (which is technically also a list). But I know for sure that vowel_features[15] is NOT giving you a column. Probably it has to be vowel_features[,15]. So start with that one, and I'll take a look at the rest to get your lda running. Cheers Joris On Sat, May 29, 2010 at 6:53 PM, cobbler_squad <la.f...@gmail.com> wrote: > > Thanks for being patient with me. > > I guess my problem is with understand how grouping in this particular case > is used: > > one of the sample codes I found online > (http://www.statmethods.net/advstats/discriminant.html) > library(MASS) > fit <- lda(G ~ x1 + x2 + x3, data=mydata, na.action="na.omit", CV=TRUE) > > the "mydata" file in my case is the 3dmaskdump file with 52 columns and 671 > rows (all values range between 0 and 1 after they're scaled) > > the other file, what I assumed was the "grouping file" (or the > "vowel_feature") is the file that defines features for the vowels (i.e. > column 1 of the file is vowel name (a, i, u) and every other column in a > distinct combination of 0's and 1's defining the vowel (so this file has 26 > columns and 254 rows). Therefore, every column that follows represents a > particular "feature" of that vowel.. (hope this makes sense!!) > > So, the reason I wanted to return G <- vowel_feature[15] in my previous > post > is because I need to extract a column that represents "backness" of the > vowel (while other columns represent "roundedness", "nasalization" > features, etc). So what (in my mind) G <- vowel_feature[15] would return is > 1 column which is 254 rows long with 0's and 1's in it. > i.e. > > 1 0 > 2 1 > 3 1 > 4 0 > ... > .. > . > 254 1 > > I am a novice with R (so I know my questions are pretty dumb!), but I > really > hope I clarified my confusion a bit better. I very much appreciate your > help. > > Looking forward to your replies. > > Thank you again, > Cobbler > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Linear-Discriminant-Analysis-in-R-tp2231922p2235777.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. > -- Joris Meys Statistical Consultant Ghent University Faculty of Bioscience Engineering Department of Applied mathematics, biometrics and process control Coupure Links 653 B-9000 Gent tel : +32 9 264 59 87 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php [[alternative HTML version deleted]] ______________________________________________ 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.
