This sounds like something I could use..
I'm kind of new with R, meaning I've having some minor troubles all the
time...
Say I have a range of binary(0,1) variables X1 to Xn, with missing data for
different cases.
At the moment my data is a binary indicator matrix; rows representing the i
individu
Hi
I have a large dataset, containing a wide range of binary variables.
I would like first of all to compute a jaccard matrix, then do a PCA on this
matrix, so that I finally can do a hierarchical clustering on the principal
components.
My problem is, that I don't know how to compute the jaccard
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