Package: vipor 0.4.7

Scott Sherrill-Mix

vipor: Plot Categorical Data Using Quasirandom Noise and Density Estimates

Generate a violin point plot, a combination of a violin/histogram plot and a scatter plot by offsetting points within a category based on their density using quasirandom noise.

Authors:Scott Sherrill-Mix, Erik Clarke

vipor_0.4.7.tar.gz
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vipor.pdf |vipor.html
vipor/json (API)

# Install 'vipor' in R:
install.packages('vipor', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • counties - Census ata on US counties
  • integrations - Data on HIV integration sites from several studies

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

13 exports 5.80 score 0 dependencies 85 dependents 33 scripts 21.9k downloads

Last updated 9 months agofrom:21c24f92d1. Checks:ERROR: 1 OK: 1. Indexed: yes.

TargetResultDate
Doc / VignettesFAILSep 14 2024
R-4.5-linuxOKSep 14 2024

Exports:aveWithArgsdigits2numbergeneratePermuteStringnumber2digitsoffsetSingleGroupoffsetXpermutetopBottomDistributetukeyPermutestukeyTtukeyTexturevanDerCorputvpPlot

Dependencies:

Grouped one-dimensional data method comparison

Rendered frommethodComparison.Rnwusingutils::Sweaveon Sep 14 2024.

Last update: 2023-12-19
Started: 2015-10-31

vipor package usage examples

Rendered fromusageExamples.Rnwusingutils::Sweaveon Sep 14 2024.

Last update: 2023-12-19
Started: 2015-10-31