Currently maintained by Rafael Maia, Thomas White, and Hugo Gruson.
A set of functions and tools for the analysis of color data in a unified framework.
- 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:
The manuscripts describing the package has been published and are free to access:
> v. 2.0
Maia R, Gruson H, Endler JA, White TE 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
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:
- use Hadley Wickham's devtools:
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)