search for: mask_featur

...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 t...

...CV =TRUE,size=1,iter=10,MaxNWts=100) ? ?cvc_nnet.out <- c(cvc_nnet.out,predict(cvc_nnet,cvc_lda[all == n,],type = "class")) } table(cvc_nnet.out,cvc_lda$G) === to get cvc_lda: library(MASS) vowel_features <- data.frame(as.matrix(read.table(file = "test_vowels.txt"))) mask_features <- data.frame(as.matrix(read.table(file = "3dmaskdump.txt"))) G <-vowel_features[,41] cvc_lda <- lda(G ~ ., data=mask_features, na.action="na.omit", CV=TRUE) Your insight is very much appreciated it! -- View this message in context: http://r.789695.n4.nabble.com/...