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Description
First of all, thank you for developing and maintaining this great package! It's been really helpful for my analysis. However, I encountered the following error while running the function:
Error in mean.vect > censoring.thr:
(converted from warning) longer object length is not a multiple of shorter object length
This occurs during the execution of the following block of code:
if (max(obj.fnc) > 0) {
censoring.thr = support[which(obj.fnc == max(obj.fnc))] # Set threshold
} else {
censoring.thr = min.support - 1
}
model.selector[which(mean.vect > censoring.thr)] = 1
length(censoring.thr)
[1] 6
length(mean.vect)
[1] 2981
The error is caused by a length mismatch between mean.vect
and censoring.thr
. The error message indicates that the comparison between mean.vect
(which is a vector with length equal to the number of features) and censoring.thr
(which is a scalar) results in a length mismatch during the comparison mean.vect > censoring.thr
.
Environment:
R version 4.2.1 (2022-06-23)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.5 LTS
Looking forward to any suggestions or fixes!
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