Statistical tests on residuals

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

?s 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 at sapo.pt
<mailto:ruipbarradas at sapo.pt>> wrote:

    Hello,

    Inline.

    ?s 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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