R: Plot Categorical Data Using Quasirandom Noise and Density Estimates

# Plot Categorical Data Using Quasirandom Noise and Density Estimates

## Documentation for package ‘vipor’ version 0.4.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

vipor-package | Functions to generate violin scatter plots
aveWithArgs | the ave() function but with arguments passed to FUN
counties | Census ata on US counties
digits2number | Convert a vector of integers representing digits in an arbitrary base to an integer
generatePermuteString | Generate a permutation string meeting Tukey criteria
integrations | Data on HIV integration sites from several studies
number2digits | Convert an integer to an arbitrary base
offsetSingleGroup | Offset data using quasirandom noise to avoid overplotting
offsetX | Offset data using quasirandom noise to avoid overplotting
permute | Return all permutations of a vector
topBottomDistribute | Produce offsets such that points are sorted with most extreme values to right and left
tukeyPermutes | Find permutations meeting Tukey criteria
tukeyT | Combine multiple permutation strings into one
tukeyTexture | Generate random positions based on Tukey texture algorithm
vanDerCorput | Generate van der Corput sequences
vipor | Functions to generate violin scatter plots
vpPlot | Plot data using offsets by quasirandom noise to generate a violin point plot