classyfire (version 0.1-2)

ggPermHist: Permutation Histograms

Description

The ggPermHist function generates a histogram of the permutation results as generated by cfPermute.

Usage

ggPermHist(permObj, density = FALSE, percentiles = FALSE, mean = FALSE,  median = FALSE)

Arguments

permObj

The permutation object as generated by cfPermute

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

ggEnsHist

Examples

## Not run: 
# data(iris)
# 
# irisClass <- iris[,5]
# irisData  <- iris[,-5]
# 
# permObj <- cfPermute(irisData, irisClass, bootNum = 10, ensNum = 20, permNum = 5, 
#                      parallel = TRUE, cpus = 4, type = "SOCK")
# 
# # Basic histogram of the averaged test accuracies during permutation 
# ggPermHist(permObj)
# 
# # Density plot 
# ggPermHist(permObj, density=TRUE)
# 
# # Density plot that highlights additional descriptive statistics
# ggPermHist(permObj, density=TRUE, percentiles = TRUE, mean = TRUE)
# ggPermHist(permObj, density=TRUE, percentiles = TRUE, median = TRUE)
# ## End(Not run)