# panel.lift2

##### Lattice Panel Functions for Lift Plots

Two panel functions that be used in conjunction with `lift`

.

- Keywords
- hplot

##### Usage

`panel.lift2(x, y, pct = 0, values = NULL, ...)`

##### Arguments

- 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 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

`plot.line`

or`superpose.line`

component of the current lattice theme to draw the lines (depending on whether groups were used- …
options to pass to

`panel.xyplot`

##### Details

`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).

##### See Also

##### Examples

```
# NOT RUN {
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)
# }
```

*Documentation reproduced from package caret, version 6.0-80, License: GPL (>= 2)*