Hello,
I'm running R 2.10.1 on Windows Vista. I'm selecting a random sample of
several hundred items out of a larger population of several thousand. I
realize there is srswor() in package sampling for exactly this purpose, but
as far as I can tell it uses the native PRNG which may or may not be ra
Hello,
I know there must be a simple soluton to this problem but it eludes me
currently.
My data is partitioned into two subsets, each subset has a common column
factor but with varying levels:
levels(fdf_ghc$AgeDemo)
[1] "26TO35" "36TO45" "46TO55" "56TO65" "66TO75" "76TO85"
levels(fdf_ghcnull$A
On Mon, Jan 18, 2010 at 10:33 AM, Ivan Calandra <
ivan.calan...@uni-hamburg.de> wrote:
> I didn't understand from the help what really does the function rowMeans
> but it looks like it doesn't take into account the categorical variables (I
> want to calculate the means when the values of all categ
On Mon, Jan 18, 2010 at 10:17 AM, Ivan Calandra <
ivan.calan...@uni-hamburg.de> wrote:
> Thanks for your answer, but it doesn't work...
>
> Here is what I get:
> > ssfamean <- aggregate(ssfa[[10:24]],ssfa[c("SPECSHOR", "BONE", "TO_POS",
> "FACETTE", "SHEARFAC", "ENA_BA")],mean)
> Error in .subset2
On Mon, Jan 18, 2010 at 9:53 AM, Ivan Calandra wrote:
> Hi everybody!
>
> I'm working on R today so I have a lot of questions (you may have
> noticed that it's the 3rd email today). I'm new on R, so please excuse
> the "spam"!
>
> I have a dataset "ssfa" with many rows and the column names are:
>
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