Lattice Panel Functions for Lift Plots
Two panel functions that be used in conjunction with
panel.lift(x, y, ...)panel.lift2(x, y, pct = 0, values = NULL, ...)
- the percentage of searched to be plotted in the scatterplot
- the percentage of events found to be plotted in the scatterplot
- the baseline percentage of true events in the data
A vector of numbers between 0 and 100 specifying reference values for the percentage of samples found (i.e. the y-axis). Corresponding points on the x-axis are found via interpolation and line segments are shown to indicate how many samples must be tested before these percentages are found. The lines use either the
superpose.linecomponent of the current lattice theme to draw the lines (depending on whether groups were used
options to pass to
panel.lift plots the data with a simple (black) 45 degree reference line.
panel.lift2 is the default for
lift and plots the
data points with a shaded region encompassing the space between to the random model and perfect model trajectories. The color of the region is determined by the lattice
reference.line information (see example below).
set.seed(1) simulated <- data.frame(obs = factor(rep(letters[1:2], each = 100)), perfect = sort(runif(200), decreasing = TRUE), random = runif(200)) regionInfo <- trellis.par.get("reference.line") regionInfo$col <- "lightblue" trellis.par.set("reference.line", regionInfo) lift2 <- lift(obs ~ random + perfect, data = simulated) lift2 xyplot(lift2, auto.key = list(columns = 2)) ## use a different panel function xyplot(lift2, panel = panel.lift)