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The Ultimate Guide to the viridis Package in R

In this comprehensive reference guide, you'll find all the information you need about the viridis package in R. We'll make it easy for you to explore and understand the package's documentation. Get ready to unlock the full potential of the viridis package!

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Basic details of the viridis package in R

At R Basics, our goal is to make it easy for you to find documentation about the viridis package. That’s why we’ve compiled all the key information in one place. Dive into the details below to understand how this package can improve your work.
  • Title: Colorblind-Friendly Color Maps for R
  • Description: Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This package also contains 'ggplot2' bindings for discrete and continuous color and fill scales. A lean version of the package called 'viridisLite' that does not include the 'ggplot2' bindings can be found at .
  • Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph], Marco Sciaini [ctb, cph], Antônio Pedro Camargo [ctb, cph], Cédric Scherer [ctb, cph]
  • Maintainer: Simon Garnier
  • License type: MIT + file LICENSE
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Technical details of the viridis package in R

R documentation also provides technical details of a package, including its dependencies, enhancements, and compilation requirements. Learning this information will help you master the viridis package.
  • Version: In R, a version refers to a specific release of a package and can be used to track changes. To find the version number of the viridis package in the R console, you can use the packageVersion("viridis") function.
  • Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The viridis package does not have compilation requirements.
  • Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The viridis package has the following required dependencies: R (>= 2.10), viridisLite (>= 0.4.0).
  • Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The viridis package has the following suggested dependencies: hexbin (>= 1.27.0), scales, MASS, knitr, dichromat, colorspace, httr, mapproj, vdiffr, svglite (>= 1.2.0), testthat, covr, rmarkdown, maps, terra.
  • External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The viridis package does not use any external sources.
  • Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The viridis package has the following imported packages: ggplot2 (>= 1.0.1), gridExtra.
  • Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The viridis package has no enhancements.
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Capabilities of the viridis package in R

R documentation provides comprehensive information about a package, including its functions, datasets, and vignettes. Exploring this information will help you make the most of the viridis package’s functionalities.
  • Functions: Functions play a crucial role in R packages. They allow you to perform specific tasks and computations efficiently. To identify the functions in the viridis package, you can use the ls("package:viridis") function.
  • Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify any built-in datasets in the viridis package, you can use the data(package = "viridis") function.
  • Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes you can use the vignette(package = "viridis") function. This code will display a list of available vignettes you can read.
  • Citation information: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find the citation information for the viridis package in the R console, you can use the citation("viridis") function.
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Getting help with the viridis package in R

If you have trouble using the viridis package in R, there are several ways to get help.
  • The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("viridis") function to retrieve detailed information, examples, and usage instructions.
  • The ? operator: The ? operator is a shortcut for the help() function. You can simply type ?viridis to quickly find documentation.
  • Discussion forums: Online forums are excellent platforms to ask questions, share knowledge, and troubleshoot issues. The most popular forums for R programmers are StackOverflow and Posit Community.

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