An R package for the organization, visualisation, and perceptual analysis of spectral colour data in R
We are excited to announce the stable release of version 1.0 of pavo; the comprehensive R package for handling and analysing colour data. This release includes a suite of new modelling and visualisation tools in a more flexible framework, along with a number of minor improvements. Take a look at the introductory vignette for an outline of the changes, which is also accessible within R through a call to
We’re always happy to receive feedback and suggestions, so feel free to join pavo’s gitter page (public chat room) if you need help or if you’d like to keep an eye on announcements. If you have a bug to report, we’d appreciate it if you could also include a reproducible example when possible.
Stable release: 1.0.1 (17/03/2017)
Installation: The current stable version of pavo is available on CRAN, and can simply be installed using
install.packages('pavo') within R. The bleeding-edge version is on github, and is most easily installed with Hadley Wickham’s devtools package, by running
Citation: Maia R, Eliason CM, Bitton P-P, Doucet SM, Shawkey MD (2013) pavo: an R package for the analysis, visualization and organization of spectral data. Methods in Ecology and Evolution, 4(10):906-913
You can find my half-finished projects and anything that might be of broader use on github.