Dear R gurus, Thank you all for continuous support and guidance -- learning without you would not be efficient.
I have a question regarding LD analysis and how to best code it up in R. I have a file of (V52 and 671 time points across all columns) and another file of phonetic features (each vowel is aligned with a distinct binary sequence, i.e. 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 and so on). I need to run lda (at first for one of the features, meaning one column only extracted from the "binary" file mentioned above). In code so far I have very little, but here the short examples of both files: V57 file: V27 V28 V29 V30 V31 V32 V33 V34 1 -2.515000e-03 -0.203858 6.531000e-03 0.248686 6.760000e-04 0.084677 -1.262000e-03 2 -2.406000e-03 -0.194943 6.248000e-03 0.237851 6.470000e-04 0.081001 -1.207000e-03 3 -4.860000e-04 -0.039288 1.263000e-03 0.047980 1.300000e-04 0.016292 -2.430000e-04 and "binary" file 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 thus in code I have the following: library(MASS) vowel_features <- read.table(file = "mappings_for_vowels.txt") mask_features <- read.table(file = "3dmaskdump_ICA_37_Combined.txt") #scale the mask_features file scaled_features <- scale(mask_features, center = FALSE, scale = apply(abs(mask_features, 2, median))) #input vowel feature, lda lda(ROI_values ~ mappings_for_vowels[15]...) not sure what is the correct approach to use for lda any pointers would be greatly appreciated thanks again all! Cobbler -- View this message in context: http://r.789695.n4.nabble.com/Linear-Discriminant-Analysis-in-R-tp2231922p2231922.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.