hi,

assume
val is the test data while m is lda model value by using CV=F

x = predict(m, val)

val2 = val[, 1:(ncol(val)-1)] # the last column is class label

# col is sample, row is variable

then I am wondering if

x$x == (apply(val2*m$scaling), 2, sum)

i.e., the scaling (is it coeff vector?) times val data and sum is the
discrimant result $x?

Thanks.

-- 
Weiwei Shi, Ph.D
Research Scientist
GeneGO, Inc.

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III

______________________________________________
R-help@stat.math.ethz.ch 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.

Reply via email to