#' table of classification performances
#'
#' takes in predited weights and true labels and determines performance characterisitcs
#' @param weights are the predicted scores/probablities of test data
#' @param trubeLabels are the true labels associated with the test data
#' @param direction = "auto", ">", "<"
#' @export
## put (absolute) correlations on the upper panels, with size
## proportional to the correlations.
panel.cor = function(x, y, digits = 2, prefix = "", cex.cor,
...) {
usr <- par("usr")
on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
r <- abs(cor(x, y))
txt <- format(c(r, 0.123456789), digits = digits)[1]
txt <- paste0(prefix, txt)
if (missing(cex.cor))
cex.cor <- 0.8/strwidth(txt)
text(0.5, 0.5, txt, cex = cex.cor * r)
}
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