ggEnsHist: Ensemble Histograms

In classyfire: Robust multivariate classification using highly optimised SVM ensembles

Description

The ggEnsHist function generates a histogram of the ensemble results as generated by cfBuild.

Usage

ggEnsHist(ensObj, density = FALSE, percentiles = FALSE, mean = FALSE, median = FALSE)

Arguments

ensObj	The classification ensemble (in the form of an R list) as generated by cfBuild
density	Boolean value, by default equal to FALSE. If density = FALSE, the histogram depicts frequencies, the counts component of the result. Instead, for density = TRUE, probability densities are plotted.
percentiles	Boolean value, by default equal to FALSE. If percentiles = TRUE, the upper and lower percentiles of the distribution are depicted in the plot.
mean	Boolean value, by default equal to FALSE. If mean = TRUE, the mean of the distribution is depicted in the plot.
median	Boolean value, by default equal to FALSE. If median = TRUE, the median of the distribution is depicted in the plot.

See Also

ggPermHist

Examples

## Not run: 
data(iris)

irisClass <- iris[,5]
irisData  <- iris[,-5]

ens <- cfBuild(irisData, irisClass, bootNum = 100, ensNum = 100, parallel = TRUE, 
               cpus = 4, type = "SOCK")

# Basic histogram of the test accuracies in the ensemble
ggEnsHist(ens)

# Density plot of the test accuracies in the ensemble
ggEnsHist(ens, density = TRUE)

# Density plot that highlights additional descriptive statistics
ggEnsHist(ens, density = TRUE, percentiles=TRUE)
ggEnsHist(ens, density = TRUE, percentiles=TRUE, mean=TRUE)
ggEnsHist(ens, density = TRUE, percentiles=TRUE, median=TRUE)

## End(Not run)

classyfire documentation built on May 29, 2017, 11:05 p.m.