Hi Richard,
Thanks for your response.
However, how can I correct my R code knowing that I want, as a result, only one
value : the mean of the 500 MSE_OLS values ?
Le mardi 19 mai 2020 à 21:59:07 UTC+2, Richard M. Heiberger <r...@temple.edu> a
écrit :
> dim(my.data)
[1] 1 500
you have a matrix with a single row and 500 columns.
you gave a name to only the first column.
Look at the result of replicate(). it is a vector. You transposed it into a
one-row matrix.
> tmp <- replicate( 500, my.experiment() )
> dim(tmp)
NULL
> length(tmp)
[1] 500
> dim(t(tmp))
[1] 1 500
On Tue, May 19, 2020 at 3:51 PM varin sacha via R-help <r-help@r-project.org>
wrote:
> Dear R-experts,
>
> Here is my R code, I get a result but I also get an error message so I doubt
> I can trust the result I get.
> What is going wrong ? Many thanks.
>
> ########################################
> a<-c(2,4,3,4,6,5,3,1,2,3,4,3,4,5,65)
> b<-c(23,45,32,12,23,43,56,44,33,11,12,54,23,34,54)
> d<-c(9,4,5,3,2,1,3,4,5,6,4,9,10,11,18)
>
> my.experiment <- function( ) {
>
> OLS <- lm( a ~ b+d )
> MSE_OLS<-mean(OLS$residuals^2)
> return( c(MSE_OLS) )
> }
>
> my.data = t(replicate( 500, my.experiment() ))
> colnames(my.data) <- c("MSE_OLS")
> mean(my.data)
> ########################################
>
>
> ______________________________________________
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>
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