Dear All,
I have a matrix with 33 columns and 5000 rows. I would like to find 2 specific
columns in the set: the one that holds the highest values and the one that
holds the lowest values. In this case the column's mean would be apropriate to
use to try to find those specific columns because each columns mean is
different and they all change together based on the same "change of rate
constants" as a function of time (ie: tme is the most important determinant of
the magnitude of that mean). The columns are not to be named, if possible....
Any thoughts on that? Would apreciate the help....
example:
a
<-matrix(c(runif(500,10,15),runif(500,15,20),runif(500,20,25),runif(500,25,30)),ncol=4)
I would need to find and plot with a box percentile plot column 1, the column
with the lowest mean, and column 4, the column with the highest mean
thanks,
Andras
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