R: Data and Functions for Web-Based Analysis

# Data and Functions for Web-Based Analysis

## Documentation for package ‘webr’ version 0.1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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