Hi, I am working with proteomic data in both local and server knime environments, but prefer the local environment. As far as I can tell, the R and Python in my local environment is correctly set up and can handle most of the community nodes required (non-linear normalization, e.g.). However, the IMP4p node for missing value imputation remains problematic in the local environment and crashes with problems in R. It works fine in the server environment. I have already checked that all the R packages required by IMP4p have been installed in my local R library. Nevertheless, it produces the following error:
ERROR R Snippet 5:1:0:927 Execute failed: Error in R code:
Loading required package: Iso
Iso 0.0-18.1
Loading required package: truncnorm
Loading required package: norm
This package has some major limitations
(for example, it does not work reliably when
the number of variables exceeds 30),
and has been superseded by the norm2 package.
Loading required package: missForest
Loading required package: missMDA
Error: $ operator is invalid for atomic vectors
Error: object ‘output’ not found
Error: object ‘output’ not found
Error: object ‘output’ not found.
Has anyone else had similar problems with this node?
Thanks for your attention.
