Dear r-help

I am trying to run LDA on a training data set, and test it on another data set with the same variables.  I found examples using crossvalidation, and using training and testing data sets set up with sample, but not when they are preassigned.

Here is what I tried

# FIRST SET UP A DATAFRAME WITH ALL THE DATA AND CREATE  NEW VARIABLES

traintest1 <- arnaudnognod1[arnaudnognod1$DISC_USE1 == 1.01|arnaudnognod1$DISC_USE1 == 1.03|arnaudnognod1$DISC_USE1 == 1.04
 |arnaudnognod1$DISC_USE1 == 1.02|arnaudnognod1$DISC_USE1 == 1.05|arnaudnognod1$DISC_USE1 == 1.06,]
traintest1$normal <- traintest1$DISC_USE1 == 1.01|traintest1$DISC_USE1 == 1.03|traintest1$DISC_USE1 == 1.04
traintest1$mafelev <- apply(traintest1[,1:40], 1, FUN = mean)
traintest1$mafscatter <- apply(traintest1[,1:40], 1, FUN = sd)

# NEXT CREATE TRAINING AND TESTING DATAFRAMES

train <- traintest1[traintest1$DISC_USE1 == 1.01|traintest1$DISC_USE1 == 1.02,]
test <- traintest1[traintest1$DISC_USE1 > 1.02,]

# NOW, TRAIN HAS 400 ROWS, TEST HAS 396 ROWS, AND TRAINTEST1 HAS 796 ROWS, EACH HAS 615 COLUMNS, AS EXPECTED

# RUN DISCRIM ON TRAINING DATA

mafdisc <- lda(normal~mafelev + mafscatter, data = train)

#mafdisc$counts IS 210 AND 190, AS EXPECTED

#FINALLY, TEST IT ON THE TEST DATA

mafdiscpred <- predict(mafdisc, data = test)

#BUT mafdiscpred$class HAS LENGTH = 400, NOT 396, AS EXPECTED.

any help appreciated

thanks

Peter

Peter L. Flom, PhD
Brainscope, Inc.
212 263 7863 (MTW)
212 845 4485 (Th)
917 488 7176 (F)



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