Hi guys,
I have a large number of columns of a dataframe that I want to apply a common
factorization to; the columns are all numeric and the factorization collapses
some of these values into common groups (labels). How can I do this
systematically?
Is there an analog to sapply that can pass columns as vectors to FUN?
Thanks in advance,
Gregory Gentlemen
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