Data and Functions for Web-Based Analysis

Documentation for package ‘webr’ version 0.1.5

BiVar	Extract bivariate variables
ContinuousVar	Extract continuous variables
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')
extractLabels	Extract labels
freqSummary	Make table summarizing frequency
freqTable	Make flextable summarizing frequency
gg_color_hue	Make default palette
GroupVar	Extract categorical variables
langchoice1	Select word
makeSub	Make subtitle
makeSubColor	Make subcolors with main colors
mychisq.test	My chisquare test
numSummary	Numerical Summary
numSummary1	Numerical Summary
numSummary2	Numerical Summary
numSummaryTable	Make a table showing numerical summary
PieDonut	Draw a PieDonut plot
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
x2result	Extract x2 statistical result
x2summary	Summarize chisquare result
x2Table	Make a chisquare result table