Hi all,
I want to calculate the row wise mean of groups of columns in a matrix M. All
columns belonging to the same group have the same column name. My idea is to
create a new vector V containing these column names, but after first removing
the duplicates. Then I would calculate the means using for instance rowMean()
and by comparing the column names of M with the vector V, getting the indices
of the columns to use.
What do you think, is it a good idea or not? If yes, any suggestions how to do
it? If no, is there any alternative solution that might work better?
All the best,
Joel
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