Nothing
.plt.bad <-
function (x.miss, y.miss, stat, breaks, bin_start, n_row, n_col,
MD_cut, out_cut, fit_se, ...) {
# check for inconsistent parameters
if (x.miss) {
cat("\n"); stop(call.=FALSE, "\n","------\n",
"Must specify at least one variable to analyze\n\n")
}
if (MD_cut > 0 && out_cut > 0) {
cat("\n"); stop(call.=FALSE, "\n","------\n",
"Choose MD_cut or out_cut to specify outliers, but not both\n\n")
}
if (fit_se[1] > 0.999) {
cat("\n"); stop(call.=FALSE, "\n","------\n",
"fit_se now specified as the confidence level, between 0 and 1\n\n")
}
if (stat %in% c("mean","sd","deviation", "min","median","max") && y.miss) {
cat("\n"); stop(call.=FALSE, "\n","------\n",
"Must specify a numeric y-variable from which to compute the\n ",
" ", stat, " for each level of ", deparse(substitute(x)), "\n\n")
}
#if (values != "data" && object == "sunflower") {
#cat("\n"); stop(call.=FALSE, "\n","------\n",
#"Sunflowers are only plotted for data\n\n")
#}
#if (method %in% c("spearman", "kendall")) {
#cat("\n"); stop(call.=FALSE, "\n","------\n",
#"The method parameter has another meaning for Plot\n\n",
#"Compute a Spearman or Kendall correlation\n",
#" with the Correlation function\n\n")
#}
if (is.numeric(breaks) && !is.null(bin_start)) {
cat("\n"); stop(call.=FALSE, "\n","------\n",
"Choose only one option to specify a start value.\n",
"Either choose the option breaks or the option bin_start.\n\n")
}
if (!is.null(n_row) && !is.null(n_col)) {
cat("\n"); stop(call.=FALSE, "\n","------\n",
"Only specify n_row or n_col, but not both\n\n",
"From one of the values, the other value is calculated\n\n")
}
}
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