caret (version 6.0-93)

dotplot.diff.resamples: Lattice Functions for Visualizing Resampling Differences

Description

Lattice functions for visualizing resampling result differences between models

Usage

# S3 method for diff.resamples
dotplot(x, data = NULL, metric = x$metric[1], ...)

Value

a lattice object

Arguments

x

an object generated by diff.resamples

data

Not used

metric

a character string for which metrics to plot. Note: dotplot and levelplot require exactly two models whereas the other methods can plot more than two.

...

further arguments to pass to either densityplot, dotplot or levelplot

Author

Max Kuhn

Details

densityplot and bwplot display univariate visualizations of the resampling distributions. levelplot displays the matrix of pair-wide comparisons. dotplot shows the differences along with their associated confidence intervals.

See Also

resamples, diff.resamples, bwplot, densityplot, xyplot, splom

Examples

if (FALSE) {
#load(url("http://topepo.github.io/caret/exampleModels.RData"))

resamps <- resamples(list(CART = rpartFit,
                          CondInfTree = ctreeFit,
                          MARS = earthFit))
difs <- diff(resamps)

dotplot(difs)

densityplot(difs,
            metric = "RMSE",
            auto.key = TRUE,
            pch = "|")

bwplot(difs,
       metric = "RMSE")

levelplot(difs, what = "differences")

}