benchmark (version 0.3-3)

algperf-visualization: Basic visualizations for algorithm performance measures

Description

Basic visualization methods for algorithm performance measures.

Usage

## S3 method for class 'AlgorithmPerformance':
boxplot(x, order.by=median, order.performance=1, dependence.show=c("outliers",
    "all", "none"), dependence.col=alpha("black", 0.1), ...)
## S3 method for class 'AlgorithmPerformance':
densityplot(x, ...)
## S3 method for class 'AlgorithmPerformance':
stripchart(x, order.by=median, order.performance=1, dependence.show=c("none",
    "all"), dependence.col=alpha("black", 0.1), ...)

Arguments

x

An AlgorithmPerformance object

order.by

Function like mean, median, or max to calculate a display order of the algorithms; or NULL for no spe

order.performance

Name or index of the reference performance measure to calculate the order.

dependence.show

Show dependence of observations for all, none or outlier observations.

dependence.col

Color of the dependence line.

...

Ignored.

Value

• boxplot.AlgorithmPerformance: A ggplot object. densityplot.AlgorithmPerformance: A ggplot object. stripchart.AlgorithmPerformance: A ggplot object.