se.resampling estimates the Standard Error comparing a main PANE run and multiple other PANE runs, for example runs obtained with jackknife resampling. se.resampling takes three inputs: a list with the main PANE result, a list with the resampling PANE results, and a numeric vector containing the number of SNPs per each chromosome.
Usage
se.resampling(nnls_main, nnls_resampling, chromovec)
Arguments
- nnls_main
list obtained from the pane() function on the main set.
- nnls_resampling
list contining multilpe pane() function results, on the resampled set.
- chromovec
a numeric vector containing the number of SNPs per each chromosome (ie. chromovec = rep(1000,times = 22))
Value
Returns a table containing the standard error per each target given the source group.
Examples
if (FALSE) {
se.resampling(nnls_main = pane_main, nnls_resampling = pane_resampling, chromovec)
}