[R] matrix manipulation question

Stéphane Adamowicz stephane.adamowicz at avignon.inra.fr
Fri Mar 27 09:58:39 CET 2015

Why not use complete.cases() ?

data_no_NA <- data[, complete.cases(t(data))==T]

Le 27 mars 2015 à 06:13, Jatin Kala <jatin.kala.jk at gmail.com> a écrit :

> Hi,
> I've got a rather large matrix of about 800 rows and 600000 columns.
> Each column is a time-series 800 long.
> Out of these 600000 time series, some have missing values (NA).
> I want to strip out all columns that have one or more NA values, i.e., only want full time series.
> This should do the trick:
> data_no_NA <- data[,!apply(is.na(data), 2, any)]
> I now use data_no_NA as input to a function, which returns output as a matrix of the same size as data_no_NA
> The trick is that i now need to put these columns back into a new 800 by 600000 empty matrix, at their original locations.
> Any suggestions on how to do that? hopefully without having to use loops.
> I'm using R/3.0.3
> Cheers,
> Jatin.
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