[R] Statistical tests on residuals

[Rui Barradas]

Hello,

Please cc the list.

Yes, that's what I mean.
Besides, the code as provided doesn't produce an object (search) with a 
resid method. Are you sure resid(search) runs without errors?

Hope this helps,

Rui Barradas

Às 16:55 de 29/12/19, Neha gupta escreveu:
> Hello Rui,
> 
> I use caret and CART
> 
> search <- train(Results ~ ., data = training,
>                       method = "rpart",
> 
>                       metric = "MAE",
>                       preProc = c("center", "scale", "zv" ),
> 
> getTrainPerf(search)
> x=resid(search)
> 
> You mean its not the right way for statistical test?
> 
> On Sun, Dec 29, 2019 at 5:41 PM Rui Barradas <ruipbarradas using sapo.pt 
> <mailto:ruipbarradas using sapo.pt>> wrote:
> 
>     Hello,
> 
>     Inline.
> 
>     Às 16:28 de 29/12/19, Neha gupta escreveu:
>      > Hi
>      >
>      > I have continuous data I.e regression based. If I have residuals for
>      > algorithm 1 and algorithm 2 like this,
>      >
>      > X=resid(alg1) and y=resid (alg2)
>      >
>      > Can we perform the Wilcoxon test as.
>      >
>      > Wilcox.test(x,y)
> 
>     Probably not, R is case sensitive and without loading an external
>     package that instruction will give an error. Try
> 
>     wilcox.test(x, y)
> 
> 
>     with *lower* case *w*.
> 
>     By the way, why would you test the residuals of regression fits?
>     It doesn't make sense, especially if the models (algorithms) assume
>     residuals with mean zero. I suggest you learn more about the techniques
>     you are using to model your data before trying to test.
> 
> 
>     Hope this helps,
> 
>     Rui Barradas
> 
> 
>      >
>      > Thanks
>      >
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>      >
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