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R - ave rollapply error: k <= n is not TRUE

Tags:

r

rollapply

I am trying to calculate a rolling mean of value grouped by multiple dimensions in R. Something I would do in SQL in the following way:

AVG(value) OVER 
   (PARTITION BY dim1, dim2 ORDER BY date 
       RANGE BETWEEN 5 PRECEDING AND CURRENT ROW)

The following seems to work if I select just a few dimensions:

s <- ave(df$value, 
     list(df$dim1, df$dim2), 
     FUN= function(x) rollapply(x, 5, mean, align='right'))

but gives the following error when I select full set of dimensions:

Error: k <= n is not TRUE 

I get the same error when I run:

rollapply(c(1:2), 3, mean, align='right')

so I guess the issue is that some combinations of dimensions do not have enough values to calculate mean.

How could I overcome it? I am fine with having a NA as a result for those combinations. Any help would be much appreciated..

like image 208
Adam Avatar asked Oct 21 '22 11:10

Adam


1 Answers

roll_meanr from the RcppRoll package will do this by default:

library(RcppRoll)
> roll_meanr(c(1:2), 3)
# [1] NA NA
like image 116
Jake Fisher Avatar answered Nov 03 '22 06:11

Jake Fisher