On Fri, 7 Jun 2002, Christophe Weibel wrote:
>
> Hello!
>
> I'm looking for an easy way to filter data frames.
>
> Some rows in my data frame needs to be left out,
> for instance, rows with invalid data.
>
> Right now, if I want to pair two columns of this data frame,
> I have to do this:
>
> >
pairs(as.data.frame(list(tstart=df$tstart[valid],tend=df$tend.sdr[valid])))
>
> or this:
>
> >
pairs(cbind(df$tstart,df$tend)[valid,],labels=c("tstart","tend"))
>
> where 'valid' is a logical vector of valid rows.
>
> Is there a way to filter a data frame without making a vector of
> the columns, thus losing the column names?
>
> Okay, perhaps I'm greedy. It's already working, what am I
complaining
> about?
What's wrong with df[valid, c("tstart","tend")], which
is what you appear
to want?
I am sure that's in the R Introduction.
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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