Reference

All functions

PieDonut()

Draw a PieDonut plot

cox.stuart.test()

Cox-Stuart test for trend analysis The Cox-Stuart test is defined as a little powerful test (power equal to 0.78), but very robust for the trend analysis. It is therefore applicable to a wide variety of situations, to get an idea of the evolution of values obtained. The proposed method is based on the binomial distribution. This function was written by Tommaso Martino<todoslogos@gmail.com> (See 'References')

freqSummary()

Make table summarizing frequency

freqTable()

Make flextable summarizing frequency

gg_color_hue()

Make default palette

langchoice1()

Select word

makeSub()

Make subtitle

makeSubColor()

Make subcolors with main colors

numSummary() numSummary1() numSummary2()

Numerical Summary

numSummaryTable()

Make a table showing numerical summary

plot(<htest>)

Plotting distribution of statistic for object "htest"

renew_dic()

Renew dictionary Renew dictionary

runs.test()

Runs test for randomness

transparent()

Make transparent theme