search for: traintest1

...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|t...

...on Windows. I am running a linear discriminant analysis as follows <<<< discrim1 <- lda(normvar~ mafmahal+ mrfmahal+ mffmahal+ bafmahal+ brfmahal+ cofmahal+ bmfmahal+ cfmahal+ fractmahal+ antmahal+ absmifmahal+ absifmahal, subset = train) prediction <- predict(discrim1, traintest1[-train,])$class >>> When I do this, I get a warning message: <<< Warning message: 'newdata' had 795 rows but variable(s) found have 796 rows >>> However, when I look at 'newdata' (i.e. traintest1) with dim, I find it has 796 rows: <<< > di...