
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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