c), or even c(3, 3, 1, 1, 2, 2, 3, 1, 2). So the fact that participant
(index) 1, 2, and 8 belong to each other is key.
I am most puzzled about how to do the matching / find the similarity
between each column and gold standard.
Thank you for your time!
be
On Thu, Mar 27, 2008 at 4:40 PM, Zu Thur Yew <[EMAIL PROTECTED]> wrote:
>
> for (r in 1:100) {
> d1 <-read.table(r.anl)
read.table(paste(r,".anl", sep=""))
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t; wrote:
> HI,
>
> I don't understand why you're using lapply.
>
> Please provide a example of your 'x' data.frame
>
> str(x)
>
>
> On 27/03/2008, Paul Lemmens <[EMAIL PROTECTED]> wrote:
>
>
> > Hi Henrique,
dn't thought of it. But now I have a refinement in foo()
foo <- function(x) {
out <- list()
lapply(x$clipno, function(c) {
clipname <- x$clipname
# stuff
out[[clipname]] <- rnorm(5)
})
return(out)
}
But this returns the/an empty list?
Best regards,
Paul Lemmens
e to do so at all and if so, what am I missing?
Kind regards,
Paul Lemmens
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