Hi all,
I am doing bootstrap on a distance matrix, in which samples have been
drawn with replacement. After that I do PCA on a resulted matrix, and
these 2 steps are repeated 1000 times.
pca(x) is a vector where I wanted to store all 1000 PCAs; and x is from
1 to 1000
SampleD is a new matrix after resampling;
I am getting the following error message, which I don't understand:
....
+pca(x)<-princomp(SampleD[i,j])
+ }
Error in eigen(cv, symmetric = TRUE) : infinite or missing values in 'x'
Should I maybe not use a vector, but matrix instead?
Thanks!
--
Tanya.
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