[R] matrix manipulation question

[Richard M. Heiberger]

just reverse what you did before.

newdata <- data
newdata[] <- NA
newdata[,!apply(is.na(data), 2, any)] <- myfunction(data_no_NA)

On Fri, Mar 27, 2015 at 1:13 AM, Jatin Kala <jatin.kala.jk at gmail.com> wrote:
> 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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