Hi,
I want to apply a function to a matrix, taking the columns 3 by 3. I could use
a for loop:
for(i in 1:3){ # here I assume my data matrix has 9 columns
j = i*3
set = my.data[,c(j-2,j-1,j)]
my.function(set)
}
which looks cumbersome and possibly slow. I was hoping there is some function
in the apply()/lapply() families that could take 3 columns at a time.
I though of turning mydata in a list, then using lapply()
new.data = list(my.data[,1:3], my.data[,4:6], my.data[,7:9])
lapply(new.data, my.function)
but that might incur in too much memory penalty and does have the issue of
requiring a for loop to create the list (not all my data is conveniently of 9
columns only).
Any suggestion would be much appreciated.
Bw
Federico
--
Federico C. F. Calboli
Department of Epidemiology and Biostatistics
Imperial College, St. Mary's Campus
Norfolk Place, London W2 1PG
Tel +44 (0)20 75941602 Fax +44 (0)20 75943193
f.calboli [.a.t] imperial.ac.uk
f.calboli [.a.t] gmail.com
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