Consider the use of distinct Python processes to try doing that, or
better try to find a common R version for all scripts.
Loading multiple versions of shared libraries can be little less simple
than one wishes it. See for examples:
http://stackoverflow.com/questions/228117/loading-multiple-share
I am using rpy2 and R on a cluster and need to access different R versions
depending on the respective script I run. Is it possible to dynamically tell
rpy where to look for the R libraries. A first attempt to change the LD_LIBRARY
paths was unsuccessful.
Thanks for your help!!
Frank
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