Nothing
######################################################################################################################
# Function: argmin.
# Argument: p, Vector of p-values (1 x m)
# w, Vector of hypothesis weights (1 x m)
# processed, Vector of binary indicators (1 x m) [1 if processed and 0 otherwise].
# Description: Hidden function used in the Chain function. Find the index of the smallest weighted p-value among the non-processed null hypotheses with a positive weight (index=0 if
# the smallest weighted p-value does not exist) in a chain procedure
argmin = function(p, w, processed) {
index = 0
m = length(p)
for (i in 1:m) {
if (w[i] > 0 & processed[i] == 0) {
if (index == 0) {
pmin = p[i]/w[i]
index = i
}
if (index > 0 & p[i]/w[i] < pmin) {
pmin = p[i]/w[i]
index = i
}
}
}
return(index)
}
# End of argmin
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.