> table = r.table(wordsvector)
The table function returns a _contingency table_ object, which rpy
tries to unsuccessfully convert into a numpy array.
See if this returns something more workable:
rObj = with_mode(NO_CONVERSION, r.table)(words)
aHash = {}
[aHash.update(i) for i in rObj]
print aHash
> filecontent = r.tolower(filecontent)
> words = r.strsplit(filecontent, " ")
Also, you should probably use python to do this instead making the
trip through R:
filecontent = filecontent.lower()
words = filecontents.split(" ")
Mark
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