I wrote (in part)
>
> 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,])$class
>
> When I do this, I get a warning message:
>
> <<<
> Warning message:
> 'newdata' had 795 rows but variable(s) found have 796 rows
>
> However, when I look at 'newdata' (i.e. traintest1) with dim, I find it has
> 796 rows:
>
> <<<
>> dim(traintest1)
> [1] 796 612
>
Erik Iverson asked:
What happens when you do
dim(traintest1[-train,])
------------
That also gives 796 rows, but 611 columns.
So, I also tried:
prediction <- predict(discrim1, traintest1, subset = (train == F))$class
which also gave 796 rows.... even though, when I do
table(train) it shows
FALSE TRUE
396 400
Peter
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