See http://www.nature.com/nmeth/journal/v13/n8/full/nmeth.3945.html
PRPlot(frame, xvar, truthVar, truthTarget, title, ...)
frame | data frame to get values from |
---|---|
xvar | name of the independent (input or model) column in frame |
truthVar | name of the dependent (output or result to be modeled) column in frame |
truthTarget | value we consider to be positive |
title | title to place on plot |
... | no unnamed argument, added to force named binding of later arguments. |
set.seed(34903490) x = rnorm(50) y = 0.5*x^2 + 2*x + rnorm(length(x)) frm = data.frame(x=x,y=y,yC=y>=as.numeric(quantile(y,probs=0.8))) frm$absY <- abs(frm$y) frm$posY = frm$y > 0 frm$costX = 1 WVPlots::PRPlot(frm, "x", "yC", TRUE, title="Example Precision-Recall plot")