ggbuild_descdist_data: Format 'descdist' data to ggplot2

In Issoufou-Liman/decisionSupportExtra: Miscellaneous Functions for Quantitative Support of Decision Making under Uncertainty

Description

Generate a list of descdist outputs to be understood by ggplot2.

Usage

ggbuild_descdist_data(
  data,
  discrete = FALSE,
  boot = NULL,
  method = "unbiased",
  graph = TRUE,
  title = "Cullen and Frey graph",
  subtitle = NULL,
  obs.col = "darkblue",
  boot.col = "orange"
)

Arguments

data	A numeric vector.
discrete	If TRUE, the distribution is considered as discrete.
boot	If not NULL, boot values of skewness and kurtosis are plotted from bootstrap samples of data. boot must be fixed in this case to an integer above 10.
method	"unbiased" for unbiased estimated values of statistics or "sample" for sample values.
graph	If FALSE, the skewness-kurtosis graph is not plotted.
title, subtitle	Title and Subtitle
obs.col	Color used for the observed point on the skewness-kurtosis graph.
boot.col	Color used for bootstrap sample of points on the skewness-kurtosis graph.

Details

see descdist.

Author(s)

Issoufou Liman

References

Marie Laure Delignette-Muller, Christophe Dutang (2015). fitdistrplus: An R Package for Fitting Distributions. Journal of Statistical Software, 64(4), 1-34. http://www.jstatsoft.org/v64/i04/.

See Also

descdist.

Examples

ggbuild_descdist_data(rbeta(100, shape1 = 0.05, shape2 = 1), boot = 500, obs.col = 'blue',
boot.col = 'yellow')

Issoufou-Liman/decisionSupportExtra documentation built on Dec. 21, 2020, 6:28 p.m.