An R package for the spectral and spatial analysis of color patterns

Currently maintained by Rafael Maia, Thomas White, and Hugo Gruson.

About

A set of functions and tools for the analysis of color data in a unified framework.

Need help with the package?

  • Click the links above for help with specific functions.
  • Check out the Latest News for changes and updates.
  • Read the Package Vignette for detailed examples and workflow pipeline.
  • Can’t find what you’re looking for? Join the chat: Join the chat at https://gitter.im/r-pavo/help

Citing pavo

The manuscripts describing the package has been published and are free to access:

> v. 2.0

Maia R., Gruson H., Endler J.A. and White T.E. 2018 pavo 2.0: new tools for the spectral and spatial analysis of colour in R. bioRxiv. doi: 10.1101/427658

< v. 2.0

Maia R., Eliason C.M., Bitton P.-P., Doucet S.M. and Shawkey M.D. 2013. pavo: an R Package for the analysis, visualization and organization of spectral data. Methods in Ecology and Evolution 4(10):609-613. doi: 10.1111/2041-210X.12069

Install

this is the development page for pavo. The stable release is available from CRAN. Simply use install.packages('pavo') to install.

If you want to install the bleeding edge version of pavo, you can:

install.packages('devtools')
devtools::install_github('rmaia/pavo')
require(pavo)
  • download files from github and install using $R CMD INSTALL or, from within R:
install.packages(path, type='source', repos=NULL)