has part is about denotes is_specified_output_of graph assay statistical test hypothesis data visualization x-axis y-axis binary classification true negative rate true positive rate receiver operational characteristics curve ROC curve Alejandra Gonzalez-Beltran Orlaith Burke Philippe Rocca-Serra http://en.wikipedia.org/wiki/Receiver_operating_characteristic receiver operational characteristics curve is a graphical plot which illustrates the performance of a binary classifier system as its discrimination threshold (aka cut-off point) is varied by plotting sensitivity vs (1 − specificity) roc.from.table(table, graph = TRUE, add = FALSE, title = FALSE, line.col = "red", auc.coords = NULL, ...) http://rss.acs.unt.edu/Rdoc/library/epicalc/html/roc.html ready for release