panel.lift2  R Documentation 
Two panel functions that be used in conjunction with lift
.
panel.lift2(x, y, pct = 0, values = NULL, ...)
x 
the percentage of searched to be plotted in the scatterplot 
y 
the percentage of events found to be plotted in the scatterplot 
pct 
the baseline percentage of true events in the data 
values 
A vector of numbers between 0 and 100 specifying reference
values for the percentage of samples found (i.e. the yaxis). Corresponding
points on the xaxis 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 
... 
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).
Max Kuhn
lift
,
panel.xyplot
,
xyplot
,
trellis.par.set
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)
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