pavo

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

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

About

pavo is an R package developed with the goal of establishing a flexible and integrated workflow for working with spectral and spatial colour data. It includes functions that take advantage of new data classes to work seamlessly from importing raw spectra and images, to visualisation and analysis. It provides flexible ways to input spectral data from a variety of equipment manufacturers, process these data, extract variables, and produce publication-quality figures.

pavo was written with the following workflow in mind:

Need more information, or help with the package?

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: 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('remotes')
remotes::install_github('rmaia/pavo')
install.packages(path, type='source', repos=NULL)