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pavo  

Perceptual Analysis, Visualization and Organization of Spectral Colour Data
View on CRAN: Click here


Download and install pavo package within the R console
Install from CRAN:
install.packages("pavo")

Install from Github:
library("remotes")
install_github("cran/pavo")

Install by package version:
library("remotes")
install_version("pavo", "2.9.0")



Attach the package and use:
library("pavo")
Maintained by
Thomas White
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-12-05
Latest Update: 2023-09-24
Description:
A cohesive framework for the spectral and spatial analysis of colour described in Maia, Eliason, Bitton, Doucet & Shawkey (2013) and Maia, Gruson, Endler & White (2019) .
How to cite:
Thomas White (2012). pavo: Perceptual Analysis, Visualization and Organization of Spectral Colour Data. R package version 2.9.0, https://cran.r-project.org/web/packages/pavo
Previous versions and publish date:
0.1-1 (2012-12-05 08:13), 0.1-2 (2013-01-12 15:01), 0.3-1 (2013-05-06 21:50), 0.3 (2013-04-23 00:51), 0.5-1 (2013-09-04 07:42), 0.5-2 (2015-06-11 01:27), 0.5-4 (2016-01-28 00:12), 0.5-5 (2016-03-09 01:13), 0.5-6 (2016-10-20 22:16), 0.5 (2013-06-09 18:06), 1.0.0 (2016-12-05 08:27), 1.0.1 (2017-03-16 08:44), 1.1.0 (2017-05-06 00:04), 1.3.0 (2017-09-20 12:18), 1.3.1 (2017-10-03 00:41), 1.4.0 (2018-07-11 18:20), 2.0.0 (2018-09-22 06:30), 2.1.0 (2019-03-06 19:00), 2.2.0 (2019-06-25 07:20), 2.3.0 (2019-12-11 16:30), 2.4.0 (2020-02-08 17:20), 2.5.0 (2020-11-12 10:00), 2.6.0 (2020-12-09 11:20), 2.6.1 (2020-12-18 23:20), 2.7.0 (2021-03-23 12:40), 2.7.1 (2021-09-21 15:10), 2.8.0 (2022-08-16 15:00)
Other packages that cited pavo R package
View pavo citation profile
Other R packages that pavo depends, imports, suggests or enhances
Functions, R codes and Examples using the pavo R package
Some associated functions: adjacent . aggplot . aggspec . as.rimg . as.rspec . axistetra . bgandilum . bootcoldist . categorical . catplot . cie . cieplot . classify . coc . cocplot . coldist . coldist2mat . colspace . diplot . dispace . explorespec . find_astar . flowers . getimg . getspec . hexagon . hexplot . img_conversion . irrad2flux . is.colspace . is.vismodel . jnd2xyz . jndplot . jndrot . legendtetra . merge.rspec . pavo-package . peakshape . plot.colspace . plot.rimg . plot.rspec . plot.sensmod . plotsmooth . points.colspace . procimg . procspec . projplot . segplot . segspace . sensdata . sensmodel . sicalis . simulate_spec . spec2rgb . subset.rspec . summary.colspace . summary.rimg . summary.rspec . summary.vismodel . tcspace . tcsplot . teal . tetraplot . transmissiondata . triplot . trispace . ttvertex . vismodel . vissyst . vol . voloverlap . 
Some associated R codes: acuityview_pad.R . adjacent.R . aggplot.R . aggspec.R . as.rimg.R . as.rspec.R . axistetra.R . bootcoldist.R . categorical.R . catplot.R . cie.R . cieplot.R . classify.R . coc.R . cocplot.R . coldist.R . coldist2mat.R . colspace.R . data-bgandilum.R . data-flowers.R . data-sicalis.R . data-teal.R . data-transmissiondata.R . data-ttvertex.R . data-vissyst.R . diplot.R . dispace.R . explorespec.R . find_astar.R . getimg.R . getspec.R . hexagon.R . hexplot.R . internal.R . irrad2flux.R . is.colspace.R . is.vismodel.R . isolate_wl.R . jnd2xyz.R . jndplot.R . jndrot.R . legendtetra.R . merge.rspec.R . overlap3d.R . pavo-package.R . peakshape.R . plot.colspace.R . plot.rimg.R . plot.rspec.R . plot.sensmod.R . plotsmooth.R . points.colspace.R . procimg.R . procspec.R . projplot.R . projpoints.R . segplot.R . segspace.R . sensdata.R . sensmodel.R . simulate_spec.R . spec2rgb.R . subset.rspec.R . summary.colspace.R . summary.rimg.R . summary.rspec.R . summary.vismodel.R . tcspace.R . tcsplot.R . tcspoints.R . tcsvol.R . tetraplot.R . triplot.R . trispace.R . vismodel.R . vol.R . voloverlap.R .  Full pavo package functions and examples
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