[R] populating a large matrix
Nick Matzke
matzke at berkeley.edu
Wed Jun 20 05:10:18 CEST 2012
Hi all,
This question is slightly weird. I am trying to populate a
matrix with equations. The matrix represents transition
probabilities between states. A simple example is:
state1 state2 state3
state1 s d d*d
state2 e s d*e
state3 e*e e*d s
The parameters s, d, and e need to be optimized with an
iterative algorithm. This means I have to modify, say, d,
and then recalculate the transition probabilities for each cell.
Currently, I do this by making a matrix with the equations
in character format, setting s, e, and d to values, and then
running each cell through parse(eval(text=celltxt)). As follows:
#################################
# Test code:
# Make the text matrix
txtmat = matrix(c("s", "d", "d*d", "e", "s", "d*e", "e*e",
"e*d", "e*d"), nrow=3, byrow=TRUE)
s=0.7
d=0.2
e=0.1
doit <- function(celltxt)
{
cellval = eval(parse(text=celltxt))
return(cellval)
}
# Calculate the matrix with numerical values
matrix_vals = sapply(X=txtmat, FUN=doit)
valmat = matrix(matrix_vals, nrow=3, byrow=TRUE)
valmat
# End test code
#################################
...however, this seems to get slow for large matrices.
Since I have to optimize all the parameters I need something
that updates the matrix quickly when s, d, or e is changed.
Perhaps this is a job for pointers in C++ or something,
but I figure there must be a better way in R.
Can anyone think of something more sophisticated than my
current method?
Thanks in advance for any and all help!!
Cheers,
Nick
--
====================================================
Nicholas J. Matzke
Ph.D. Candidate, Graduate Student Researcher
Huelsenbeck Lab
Center for Theoretical Evolutionary Genomics
4151 VLSB (Valley Life Sciences Building)
Department of Integrative Biology
University of California, Berkeley
Graduate Student Instructor, IB200B
Principles of Phylogenetics: Ecology and Evolution
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