Hi James
Hi Jorge,
Thank you very much!
I like the apply-approach, it seems really quite
simple and I get back the TRUE-FALSE vector which
I can use for indexing the dataframe.
Now there popped the questions if one can implement
any "exeption", like do the selection of
the columns exept for column with name "B".
I have to think about this
/Johannes
-------- Original-Nachricht --------
> Datum: Thu, 31 May 2012 09:20:27 -0500
> Von: J Toll <jct...@gmail.com>
> An: Johannes Radinger <jradin...@gmx.at>
> CC: R-help@r-project.org
> Betreff: Re: [R] Remove columns from dataframe based on their statistics
> On Thu, May 31, 2012 at 8:52 AM, J Toll <jct...@gmail.com> wrote:
>
> > for (i in seq(ncol(df), 1))
> > if (length(unique(df[, i])) == 1) {
> > df[, i] <- NULL
> > }
>
> Here's a similar method employing a more functional approach:
>
> df[, apply(df, 2, function(x) length(unique(x)) > 1)]
>
>
> James
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