Extension of 'ggplot2' providing layers, scales and preprocessing functions
useful to represent behavioural variables that are recorded over multiple animals and days.
This package is part of the rethomics framework <http://rethomics.github.io/>.
data.table, stringr, scales, labeling, rlang

Extension of 'ggplot2' providing layers, scales and preprocessing functions
useful to represent behavioural variables that are recorded over multiple animals and days.
This package is part of the 'rethomics' framework <http://rethomics.github.io/>.

Extension of 'ggplot2' providing layers, scales and preprocessing functions
useful to represent behavioural variables that are recorded over multiple animals and days.
This package is part of the 'rethomics' framework <https://rethomics.github.io/>.
data.table, stringr, scales, labeling, rlang, cli

person(given = "Brice",
family = "Nocenti",
role = c("aut", "cre"),
email = "brice.nocenti@gmail.com")
Readable, complete and pretty graphs for correspondence analysis made
with 'FactoMineR'. They can be rendered as interactive 'HTML' plots, showing useful
informations at mouse hover. The interest is not mainly visual but statistical:
it helps the reader to keep in mind the data contained in the cross-table or Burt
table while reading the correspondence analysis, thus preventing over-interpretation.
Graphs are made with 'ggplot2', which means that you can use the + syntax to
manually add as many graphical pieces you want, or change theme elements.

Summarise a Distribution Through Coloured Intervals
Implements the functionality of the 'fanplot' package as 'geoms'
for 'ggplot2'. Designed for summarising MCMC samples from a posterior
distribution, where a visualisation is desired for several values of a
continuous covariate. Increasing posterior intervals of the sampled quantity
are mapped to a continuous colour scale.
person("Jason", "Hilton", email = "jason_hilton@yahoo.com",
role = c("aut", "cre"))
testthat, knitr, rmarkdown, tidyr, magrittr, tibble, rstan