I wrote
> Hello
>
> Using R 2.7.0 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,])$class
>
> When I do this, I get a warning message:
>
> <<<
> Warning message:
> 'newdata' had 795 rows but variable(s) found have 796 rows
>
> However, when I look at 'newdata' (i.e. traintest1) with dim, I find it has
> 796 rows:
>
> <<<
>> dim(traintest1)
> [1] 796 612
>
What happens when you do
dim(traintest1[-train,])
?
> So, I do not understand the warning.
>
> Thanks for any explanation or assistance
>
I still don't understand this, as I thought I was following the example in
predict.lda;
but I did figure out how to avoid it:
<<<
test <- traintest1[train == 0,]
prediction <- predict(discrim1, test)$class
prediction <- prediction[train == 0]
table(prediction, normvar[train == 0])
>>>
Peter
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org 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.
