[R] Linear Discriminant Analysis in R
cobbler_squad
la.foma at gmail.com
Wed May 26 17:55:25 CEST 2010
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
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