plotMeanDiffCIs: plotMeanDiffCIs function
In EDOIF: Empirical Distribution Ordering Inference Framework (EDOIF)

Description Usage Arguments Value Examples

plotMeanDiffCIs is a support function for plotting difference-mean confidence intervals.

1	plotMeanDiffCIs(obj, NList, fontSize = 15, rankFlag = TRUE)

`obj`	is an object of EDOIF class that contains the results of ordering inference.
`NList`	is a list of based categories users want to have in mean-difference CI plot.
`fontSize`	is a font size of text for all plots.
`rankFlag`	is an option for including ranks of categories with in the plot: default is TRUE for including ranks.

This function returns a list of an object of ggplot class.

pDiffCI

An object of ggplot class containing the plot of mean-difference confidence intervals

# Generate simulation data with 100 samples per categories

simData<-SimNonNormalDist(nInv=100)

# Performing ordering infernce from simData

resultObj<-EDOIF(simData$Values,simData$Group)

# Get a list of ggplot object of mean-difference confidence intervals

ggplotList<-plotMeanDiffCIs(obj=resultObj)

# Plot mean-difference confidence intervals

plot(ggplotList$pDiffCI)