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dittoViz (version 1.0.1)

User Friendly Data Visualization

Description

A comprehensive visualization toolkit built with coders of all skill levels and color-vision impaired audiences in mind. It allows creation of finely-tuned, publication-quality figures from single function calls. Visualizations include scatter plots, compositional bar plots, violin, box, and ridge plots, and more. Customization ranges from size and title adjustments to discrete-group circling and labeling, hidden data overlay upon cursor hovering via ggplotly() conversion, and many more, all with simple, discrete inputs. Color blindness friendliness is powered by legend adjustments (enlarged keys), and by allowing the use of shapes or letter-overlay in addition to the carefully selected dittoColors().

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Install

install.packages('dittoViz')

Monthly Downloads

238

Version

1.0.1

License

MIT + file LICENCE

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Maintainer

Daniel Bunis

Last Published

February 2nd, 2024

Functions in dittoViz (1.0.1)

barPlot

Outputs a stacked bar plot to show the percent composition of samples, groups, clusters, or other groupings
scatterHex

scatter plot where observations are grouped into hexagonal bins and then summarized
dittoExampleData

Example Data Generation
scatterPlot

Show RNAseq data overlayed on a scatter plot
dittoColors

Extracts the dittoViz default colors
colLevels

Gives the distinct values of a column of data from the data_frame
freqPlot

Plot discrete observation frequencies per sample and per grouping
yPlot

Plots continuous data per group on a y- (or x-) axis using customizable data representations