Thomas GuillermeNov 20, 2024

The new #rstat #dispRity pkg v1.9 is now out live!

Major internal overhaul: the functions are now more efficient (and faster), specially when dealing with distance matrices!

You can find the details on the CRAN https://cran.r-project.org/web/packages/dispRity
GitHub: https://github.com/TGuillerme/dispRity
or the old paper in @MethodsEcolEvol https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13022

dispRity: Measuring Disparity

A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.

Thomas GuillermeDec 11, 2023

The #rstat #dispRity pkg v1.8 is now out live! Many new updates including PGLS and disparity with multiple matrices and trees!

You can find all the details on the CRAN https://cran.r-project.org/web/packages/dispRity;

GitHub https://github.com/TGuillerme/dispRity

or the basic paper in MEE https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13022

dispRity: Measuring Disparity

A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.