Why not use an indicator variable?
P1 <- ... # prediction from model 1 (Setosa) for entire dataset
P2 <- ... # prediction from model 2 for entire dataset
I <- Species=="setosa" #
Predictions <- P1 * I + P2 * ( 1 - I )
On Monday, December 10, 2012, Brian Feeny wrote:
>
> I have a dataset and I
I will look into that, thanks. I am afraid I don't quite understand what is
going on there with the multiplication, so I will need to read up. What I
ended up doing was like so:
For train data, its easy, as I can subset to have the model only work off the
data I want:
rbfSVM_setosa <-
gt; -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Brian Feeny
> Sent: Monday, December 10, 2012 4:41 PM
> To: r-help@r-project.org
> Subject: [R] splitting dataset based on variable and re-combining
>
>
&
I have a dataset and I wish to use two different models to predict. Both
models are SVM. The reason for two different models is based
on the sex of the observation. I wish to be able to make predictions and have
the results be in the same order as my original dataset. To
illustrate I will us
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