Nothing
## non-bootstrapped correlation function
nbcf <- function(g, p, vnames) {
n <- length(g)
m <- dim(p)[2]
params <- numeric(m)
g <- (g - mean(g))/sd(g) # standardize
p <- apply(p, 2, function(x) { (x - mean(x))/sd(x) }) # standardize
for (j in 1:m) {
params[j] <- qr.solve(p[, j], g) # get parameter via singular value decomp
}
cf.coef <- params
ci.lower <- NA
ci.upper <- NA
is.sig <- NA
out <- data.frame(coef = cf.coef, significant = is.sig, ci.lower = ci.lower, ci.upper = ci.upper)
rownames(out) <- colnames(p)
attributes(out)$npar <- attributes(p)$npar
attributes(out)$vnames <- vnames
out
}
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