class1 <- data[1==data$class,]
gets you a subset of the data into a dedicated object, but if you want to
handle arbitrarily large amounts of data or class values then the list output
of split is really much better to stay with.
Also, "data" is a predefined function, so it is not a good idea to define
objects with that name due to confusing code review.
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Sent from my phone. Please excuse my brevity.
Christopher Desjardins <cddesjard...@gmail.com> wrote:
>Hi,
>I am having trouble with syntax for a for loop. Here is what I am
>trying to
>do.
>
>class=c(rep(1,3),rep(2,3),rep(3,3))
>out1=rnorm(length(class))
>out2=rnorm(length(class))
>out3=rnorm(length(class))
>data=data.frame(class,out1,out2,out3)
>
>dat.split=split(data,data$class)
> for(i in 1:3){
> sub[i]=dat.split[i]
> }
>
>However, the for loop doesn't work. I want to assign each split to a
>different data object. Better yet, how I could assign each class to a
>separate object and skip the splitting?
>
>Thanks,
>Chris
>
> [[alternative HTML version deleted]]
>
>______________________________________________
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>and provide commented, minimal, self-contained, reproducible code.
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