On Thu, Dec 02, 2010 at 01:13:40PM -0800, Aaron Polhamus wrote:
...
> Many thanks for the tips, those solved my queries. Still interested in how
> to force custom functions to work over rows rather than columns when using
> apply,
In the command
TMAT <- apply(MAT, 1, function(X) X/sum(X))
the cu
Ivan and Michael,
Many thanks for the tips, those solved my queries. Still interested in how
to force custom functions to work over rows rather than columns when using
apply, but the MAT/rowSums(MAT) technique is definitely the most efficient
way to go for this application.
Cheers,
Aaron
2010/12
Hi Aaron,
Following up on Ivan's suggestion, if you want the column order to
mirror the row order...
mo <- order(rowSums(MAT), decreasing=TRUE)
MAT2 <- MAT[mo, mo]
Also, you don't need all those extra c() calls when creating
inputData, just the outermost one.
Regarding your second question, you
Hi,
Here is a not so easy way to do your first step, but it works:
MAT2 <- cbind(MAT, rowSums(MAT))
MAT[order(MAT2[,6], decreasing=TRUE),]
For the second, I don't know!
HTH,
Ivan
Le 12/2/2010 09:46, Aaron Polhamus a écrit :
Greetings,
My goal is to create a Markov transition matrix (probabi
Greetings,
My goal is to create a Markov transition matrix (probability of moving from
one state to another) with the 'highest traffic' portion of the matrix
occupying the top-left section. Consider the following sample:
inputData <- c(
c(5, 3, 1, 6, 7),
c(9, 7, 3, 10, 11),
c(1, 2, 3,
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