From: Douglas Bates
michael watson (IAH-C) wrote:
I think that title makes sense... I hope it does...
I have a data frame, one of the columns of which is a
factor. I want
the rows of data that correspond to the level in that factor which
occurs the most times.
So first you want to determine the mode (in the sense of the most frequently occuring value) of the factor. One way to do this is
names(which.max(table(fac)))
Use this comparison for the subset as
subset(data, pattern == names(which.max(table(pattern))))
Just be careful that if there are ties (i.e., more than one level having the max) which.max() will randomly pick one of them. That may or may not be what's desired. If that is a possibility, Mick will need to think what he wants in such cases.
According to the documentation it picks the first one. Also, that's what Martin Maechler told me and he wrote the code so I trust him on that. I figure that if you have to trust someone to be meticulous and precise then a German-speaking Swiss is a good choice.
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