Ok.
I tried this too, but it still doesn't work.
Here some more information to try out, but just an excerpt of Xarray
x <- c(0.11,0.25,0.45,0.65,0.80,0.95,1)
Y <- matrix(c(15,83,57,111,150,168,175,37,207,142,277,375,420,437),nrow=2)
sm <- function(y,x){smooth.spline(x,y)}
SmoothList <- apply(Y,1,sm,x)
NewValues <- function(x,LIST){predict(LIST,x)}
Xarray <-
matrix(c(0.15,0.56,0.66,0.45,0.19,0.17,0.99,0.56,0.77,0.41,0.11,0.63,0.42,0.
43),nrow=2)
apply(Xarray, 2, NewValues,SmoothList)
apply(Xarray, 2, NewValues,LIST=SmoothList)
-----Ursprüngliche Nachricht-----
Von: Petr Pikal [mailto:[EMAIL PROTECTED]
Gesendet: Montag, 18. September 2006 08:43
An: Gunther Höning; r-help@stat.math.ethz.ch
Betreff: Re: [R] Question on apply()
Hi
not much information about what can be wrong. As nobody knows your Xarray
and SmoothList it is hard to guess. You even omitted to show what "does not
work"
So here are few guesses.
predict usually expects comparable data
apply(Xarray, 2, NewValues,LIST=SmoothList)
HTH
Petr
On 18 Sep 2006 at 8:05, Gunther Höning wrote:
From: Gunther Höning <[EMAIL PROTECTED]>
To: <r-help@stat.math.ethz.ch>
Date sent: Mon, 18 Sep 2006 08:05:28 +0200
Subject: [R] Question on apply()
> Dear list,
>
> I try to do the following:
> I have an list of length n, with elements done by smooth.spline
> (SmoothList).
> Now I have a matrix with n rows and m columns with x-values(Xarray)
> Now I want ot predict the y-values. Therefor I want to take the first
> element of SmoothList and the first row of Xarray and predict for each
> element in Xarray the y value. And then take the second element of
> SmoothList and second row of Xarray, third row of SmoothList and third
> row of Xarray and so on....
>
> I tried following:
>
> NewValues <- function(x,LIST){predict(LIST,x)} apply(Xarray, 2,
> NewValues,SmoothList)
>
> But it don't work.
>
> Could anybody help please ?
>
> Gunther
>
> ______________________________________________
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html and provide commented,
> minimal, self-contained, reproducible code.
Petr Pikal
[EMAIL PROTECTED]
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
