Joris, You are a life saver. Based on two sample files above, I think lda should go something like this:
vowel_features <- read.table(file = "mappings_for_vowels.txt") mask_features <- data.frame(as.matrix(read.table(file = "3dmaskdump_ICA_37_Combined.txt"))) G <- vowel_features[15] cvc_lda <- lda(G~ vowel_features[15], data=mask_features, na.action="na.omit", CV=TRUE) ERROR: Error in model.frame.default(formula = G ~ vowel_features[15], data = mask_features, : invalid type (list) for variable 'G' I am clearly doing something wrong declaring G (how should I declare grouping in R when I need to use one column from vowel_feature file)? Sorry for stupid questions and thank you for being so helpful! --------- again, sample files that I am working with: mappings_for_vowels.txt: V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V20 V21 V22 V23 V24 V25 V26 1 E 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 2 o 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 1 0 1 0 0 0 3 I 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 4 ^ 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 5 @ 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 and the mask_features file is: V42 V43 V44 V45 V46 V47 V48 V49 [1,] 2.890891625 2.881188521 2.887784444 -2.882606612 -2.888877341 2.879834384 2.886483229 2.883815864 [2,] 2.763404707 2.756198683 2.761863881 -2.756827983 -2.762268531 2.754305072 2.760017050 2.758399799 [3,] 0.556614506 0.556377530 0.556247414 -0.556300910 -0.556098321 0.557495060 0.557383073 0.556867424 [4,] 0.367065248 0.366962036 0.366870087 -0.366794442 -0.366644148 0.366613343 0.366537320 0.366953464 [5,] 0.423692393 0.421835623 0.421741829 -0.421897460 -0.421659824 0.421567705 0.421465738 0.422407838 -- View this message in context: http://r.789695.n4.nabble.com/Linear-Discriminant-Analysis-in-R-tp2231922p2233333.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.