[R] ignoring objects containing NaN's in a recursive function
Mills, Jason
Jason.Mills at afhe.ualberta.ca
Tue Mar 14 19:59:55 CET 2006
Hi-
General question:
I have written a function that performs a permutation test. I use the
function "sample" to randomize my data, then I call on another function
I wrote to analyze the randomized data. This process repeats "n"
times-- 10, 100 or whatever.
The function applied to the randomized data creates a matrix and
sometimes the matrix contains NaN's. I would like my function to simply
ignore any matrices that contain NaN's and continue to cycle until it
has generated "n" matrices without any NaN's. I am aware of the
function "is.nan", but I'm not sure how to fit it in.
Specifics:
Here's the section of code that needs improvement:
for (i in 1:n){
S[,,]= sample (Y[,,])
dig=auto(S,H,J,T)
out[i,]=dig[1,]}
n= number of randomizations
S= array to store randomized data
Y= original data array
dig= the matrix returned by the function "auto"
out= matrix that collects the first row of each "dig" matrix up to "n"
Sometimes "dig" includes NaN's. I want the function to ignore those
"dig"s but keep working until it has generated "n" matrices that contain
no NaN's.
How could I do this?
Thanks.
Jason Mills
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