ramp_colours

Given vectors of colours and <code>partial_colour_ramp</code>s, ramps the colours
according to the parameters of the partial colour ramps, returning
a vector of the same length as the inputs giving the transformed
(ramped) colours.

Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for
visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as
frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as
bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include
but are not limited to: points with multiple uncertainty intervals,
eye plots (Spiegelhalter D., 1999) <https://ideas.repec.org/a/bla/jorssa/v162y1999i1p45-58.html>,
density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>,
quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>,
complementary cumulative distribution function
barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>,
and fit curves with multiple uncertainty ribbons.

Matthew Kay

ggdist

Visualizations of Distributions and Uncertainty

Brenton M. Wiernik

ramp_colours function

<dl><dt>colour</dt>
<dd>character vector of colours.</dd>
<dt>ramp</dt>
<dd>a <code>partial_colour_ramp</code> vector.</dd></dl>

Arguments

Author

Apply partial colour ramps — ramp_colours

<dl>

<dt>colour</dt>
<dd>character vector of colours.</dd>


<dt>ramp</dt>
<dd>a <code>partial_colour_ramp</code> vector.</dd>

</dl>

ramp_colours: Apply partial colour ramps

Description

Usage

Value

Arguments

Author

Details

See Also

Examples