[R] Statistical tests on residuals
Neha gupta
neh@@bo|ogn@90 @end|ng |rom gm@||@com
Sun Dec 29 18:34:35 CET 2019
Hello Rui, thanks for your input
Yes, it runs. In fact, it gives me the result like below: (I just copied
few, the list is high)
X2 X3 X4 X5 X6 X7
X8
-95.835556 -182.235556 -177.435556 -188.235556 -205.035556
-202.635556 139.364444
X10 X11 X16 X17 X21
X22 X23
-141.435556 -189.435556 146.564444 110.564444 -153.435556
86.564444 -93.435556
X24 X25 X27 X28 X30
X31 X32
-123.435556 -3.435556 -143.435556 25.564444 -151.435556
-43.435556 -2
On Sun, Dec 29, 2019 at 6:20 PM Rui Barradas <ruipbarradas using sapo.pt> wrote:
> 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
> > >
> > > [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
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> > >
> >
>
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