GainCurvePlotC {WVPlots} | R Documentation |
Plot the cumulative gain curve of a sort-order with costs.
Description
Plot the cumulative gain curve of a sort-order with costs.
Usage
GainCurvePlotC(
frame,
xvar,
costVar,
truthVar,
title,
...,
estimate_sig = FALSE,
large_count = 1000,
model_color = "darkblue",
wizard_color = "darkgreen",
shadow_color = "darkgray"
)
Arguments
frame |
data frame to get values from |
xvar |
name of the independent (input or model score) column in frame |
costVar |
cost of each item (drives x-axis sum) |
truthVar |
name of the dependent (output or result to be modeled) column in frame |
title |
title to place on plot |
... |
no unnamed argument, added to force named binding of later arguments. |
estimate_sig |
logical, if TRUE compute significance |
large_count |
numeric, upper bound target for number of plotting points |
model_color |
color for the model curve |
wizard_color |
color for the "wizard" (best possible) curve |
shadow_color |
color for the shaded area under the curve |
Details
GainCurvePlotC
plots a cumulative gain curve for the case where
items have an additional cost, in addition to an outcome value.
The x-axis represents the fraction of total cost experienced when items are sorted by score, and the y-axis represents the cumulative summed true outcome represented by the items seen so far.
For comparison, GainCurvePlotC
also plots the "wizard curve": the gain curve when the
data is sorted according to its true outcome/cost (the optimal sort order).
To improve presentation quality, the plot is limited to approximately large_count
points (default: 1000).
For larger data sets, the data is appropriately randomly sampled down before plotting.
See Also
Examples
if (requireNamespace('data.table', quietly = TRUE)) {
# don't multi-thread during CRAN checks
data.table::setDTthreads(1)
}
set.seed(34903490)
y = abs(rnorm(20)) + 0.1
x = abs(y + 0.5*rnorm(20))
frm = data.frame(model=x, value=y)
frm$costs=1
frm$costs[1]=5
WVPlots::GainCurvePlotC(frm, "model", "costs", "value",
title="Example Continuous Gain CurveC")