tidyplots is an R package to generate publication-ready plots for scientific papers

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Examples

Explore use cases

Documentation

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Get started

New to code-based plotting?
Setup your work space, get comfortable, and enjoy a step-by-step introduction into data visualization with tidyplots.

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Visualizing data

Get familiar with plotting raw data points, amounts, heatmaps, measures of central tendency, dispersion, uncertainty, distributions, proportions, statistics, and more.

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Advanced plotting

Explore advanced tidyplots workflows, including rasterization, subsetting, plotting pipelines, handling of missing data, multiplot layouts, orientation, and ggplot2 compatibility.

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Color schemes

Explore the use of color schemes in tidyplots, including built-in discrete, continuous, and divergent schemes optimized for color vision deficiency.

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Package index

All tidyplot functions in one place.

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GitHub

Ask tidyplots-related questions. Contribute bug reports, feature requests, and code.

Tidyplots paper

Take a look behind the scenes and learn more about the design principles of tidyplots.

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