[R] Run na.approx on dataset with some blank columns

Gabor Grothendieck ggrothendieck at gmail.com
Mon May 3 19:24:22 CEST 2010


Here is a workaround:

library(zoo)

# test data
z <- zoo(cbind(1:5, NA, c(1:3, NA, 5), NA))

ix <- colSums(!is.na(z)) > 0
z[, ix] <- na.approx(z[, ix])


On Mon, May 3, 2010 at 12:41 PM, Abiel X Reinhart
<abiel.x.reinhart at jpmchase.com> wrote:
> I am trying to run na.approx on a zoo object in which some of the columns contain nothing by NA values. When I do this I get the following error:
>
> Error in approx(x[!na], y[!na], xout, ...) :
>  need at least two non-NA values to interpolate
>
> Is there a way I can use na.approx with my dataset so that the columns with some data are interpolated and the columns filled with NAs are ignored? The resulting zoo matrix should have the same dimensions as the input object.
>
> Thanks.
>
> Abiel
>
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