Hi Nellie,
hope I got you right. I guess you want something like that.
for (i in 1:7) {
oneOfNelliesArray <- eval(parse(text=paste("grp",i, sep="")))
anyFunction(oneOfNelliesArray)
}
Paste() just returns you a string. But you want R to evaluate the
expression. So you have to parse it and t
Hi,
?p.adjust
Christoph
2011/10/12 Cristina Ramalho
> Hi all,
>
> This is probably a very simple question but I cannot figure out how to do
> it. I run the fourthcorner method with my data and would like to adjust the
> p values for multiple comparisons using Holm correction. When I run the
>
ead.table("woody.txt", sep="\t", head=T, row.names = 1)
> woodyadj = p.adjust(woody$p, method = "holm")
>
> My question is how to do the correction directly on the results of
> 4thcorner? Or, another way, how can I convert the 4th corner results in a
> data matri
Hi,
if the rows in your data.frame are numeric, this solution will work.
(numeric.index <- unlist(lapply(df, is.numeric)))
df[, numeric.index] <- apply(df[,numeric.index], 2, pct)
This does not work for the example you gave, unless you coerce the columns
with the your numerics to numeric:
c1 <- c
Hi,
I suspect your column Species is of class "factor" (as it is in R's built in
iris dataset).
This means that in your case Species is an integer vector with the
additional information of the levels names. kmeans is internally calling
as.matrix(), which creates a character matrix of your datafram
*.
> For example,a column which contains names like country names.How does this
> work in such cases? Is it expected behavior?
>
> Country
> ---
> England
> Germany
> China
>
> Thanks,
> Raji
>
>
> On Mon, Oct 17, 2011 at 1:02 AM, Christoph Molna
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