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Why sum and mean works different in apply.monthly? #124
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Why not use colMeans and colSums to make sure you get what you think you're getting? x<-xts(matrix(rnorm(1000),ncol=10),order.by=as.Date(1:100))
mean(x)
sum(x)
apply.weekly(x,sum)
apply.weekly(x,mean)
apply.weekly(x,colSums)
apply.weekly(x,colMeans) |
Thanks, just discovered I can do it with |
The problem is that xts defines
Or maybe they should just be removed all together? They're not exported, so CRAN likely would not allow their use in other packages. |
In my opinion is better just remove them and let |
Using colSums takes care of the sum function not being applied by columns, however what would be a similar fix for the sd( ) function, which, like sum( ), is not applied by columns in period.apply. |
A late answer, but the package matrixStats has all these functions available for columns and rows. Using the example above that would be:
|
I just pushed a commit with the best solution I could think of. The current behavior is maintained, but prints a message every time The message says to use |
When
apply.monthly
in axts
multivaluate time series (with more than one column)apply.monthly(xts.ts, sum)
returns a one column time series butapply.monthly(xts.ts, mean)
returns the same number of columns of the original.Here is an example:
The same is true with other
xts
apply
functions.This seems inconsistent.
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