Your arguments are not coming through.

fn <- function(x = 1:3, y = 3:6) {
        x <- matrix(x, nrow=1)
        y <- matrix(y, ncol=1)
        dat <- apply(x, 2, function(xx) {
                              apply(y, 1, function(yy) {
                                  return(xx + yy) } ) })
        Vectorize(dat, SIMPLIFY = TRUE)
        return(dat)}

> fn(1:3,3:7)
     [,1] [,2] [,3]
[1,]    4    5    6
[2,]    5    6    7
[3,]    6    7    8
[4,]    7    8    9
[5,]    8    9   10

Cheers
Joris

On Wed, Jun 2, 2010 at 11:25 AM, Megh Dal <megh700...@yahoo.com> wrote:

> Dear falks, here I have written following function :
>
> fn <- Vectorize(function(x = 1:3, y = 3:6) {
>         x <- matrix(x, nrow=1)
>         y <- matrix(y, ncol=1)
>         dat <- apply(x, 2, function(xx) {
>                               apply(y, 1, function(yy) {
>                                   return(xx + yy) } ) })
>         return(dat)}, SIMPLIFY = TRUE)
>
> If I run this function, I got some warning message, even format of the
> returned object is not correct, for example :
>
> >  fn(x = 1:3, y = 3:7)
> [1] 4 6 8 7 9
> Warning message:
> In mapply(FUN = function (x = 1:3, y = 3:6)  :
>   longer argument not a multiple of length of shorter
>
> However if I run individual line of codes like :
>
> > x <- 1:3; y = 3:7
> > x <- matrix(x, nrow=1)
> >         y <- matrix(y, ncol=1)
> >         dat <- apply(x, 2, function(xx) {
> +                               apply(y, 1, function(yy) {
> +                                   return(xx + yy) } ) })
> > dat
>      [,1] [,2] [,3]
> [1,]    4    5    6
> [2,]    5    6    7
> [3,]    6    7    8
> [4,]    7    8    9
> [5,]    8    9   10
>
>
> I get exactly what I want. Where I am making fault?
>
> Thanks,
>
>
>
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>
>
> ______________________________________________
> R-help@r-project.org 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.
>
>


-- 
Joris Meys
Statistical Consultant

Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control

Coupure Links 653
B-9000 Gent

tel : +32 9 264 59 87
joris.m...@ugent.be
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