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Showing content from https://github.com/R-Computing-Lab/ggpedigree/ below:

R-Computing-Lab/ggpedigree: This is companion package to BGmisc for ggplot2


ggpedigree provides modern tools for visualizing pedigree structures using both ‘ggplot2’ and ‘plotly’. It is designed to work seamlessly with the BGmisc package for simulated or empirical pedigree data, and extends the plotting capabilities of the base-graphics functions in kinship2.

The package supports:

ggpedigree is useful in behavior genetics, kinship analysis, and any research involving complex pedigree data.

You can install the released version of ggpedigree from CRAN with:

install.packages("ggpedigree")

To install the development version of ggpedigree from GitHub use:

# install.packages("devtools")
devtools::install_github("R-Computing-Lab/ggpedigree")

Here is a basic example of how to use ggpedigree to visualize a pedigree structure. The potter dataset contains simulated pedigree data for the Weasley family from the Harry Potter series.

ggPedigree(potter,
  famID = "famID",
  personID = "personID"
)

If you use ggpedigree in your research or wish to refer to it, please cite the following:

citation(package = "ggpedigree")

Garrison S (2025). ggpedigree: Visualizing Pedigrees with ‘ggplot2’ and ‘plotly’. R package version 0.8.0.1, https://github.com/R-Computing-Lab/ggpedigree/.

A BibTeX entry for LaTeX users is

@Manual{,
  title = {ggpedigree: Visualizing Pedigrees with 'ggplot2' and 'plotly'},
  author = {S. Mason Garrison},
  year = {2025},
  note = {R package version 0.8.0.1},
  url = {https://github.com/R-Computing-Lab/ggpedigree/},
}

Contributions to the ggpedigree project are welcome. For guidelines on how to contribute, please refer to the Contributing Guidelines. Issues and pull requests should be submitted on the GitHub repository. For support, please use the GitHub issues page.

Branching and Versioning System

The development of ggpedigree follows a GitFlow branching strategy:

ggpedigree is licensed under the GNU General Public License v3.0. For more details, see the LICENSE.md file.


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