berryFunctions (version 1.16.0)

betaPlot: Beta density plot

Description

Quick and nice plot of beta density distribution based on just alpha and beta

Usage

betaPlot(shape1 = 1.5, shape2 = 5, lines = NA, fill = rgb(0, 0.3, 0.8,
  0.4), cumulative = TRUE, mar = c(2, 3, 3, 3), keeppar = FALSE,
  las = 1, main = paste("Beta density with\nalpha =", signif(shape1, 3),
  "and beta =", signif(shape2, 3)), ylim = lim0(y), xlim = 0:1, ylab = "",
  xlab = "", type = "l", lty = 1, col = par("fg"), ...)

Arguments

shape1

Alpha value as in dbeta. DEFAULT: 1.5

shape2

Beta value. DEFAULT: 5

lines

Quantiles at which vertical lines should be plotted. DEFAULT: NA

fill

Color passed to polygon. DEFAULT: rgb(0,0.3,0.8, 0.4)

cumulative

Should cumulative density distribution be added? DEFAULT: TRUE

mar

Margins for plot passed to par. DEFAULT: c(2,3,3,3)

keeppar

Should margin parameters be kept instead of being restored to previous value? DEFAULT: FALSE

las

Label orientation, argument passed to plot. DEFAULT: 1

main

main as in plot. DEFAULT: paste("Beta density with\nalpha =", shape1, "and beta =", shape2)

ylim, xlim

limit for the y and x axis. DEFAULT: lim0(y), 0:1

ylab, xlab

labels for the axes. DEFAULT: ""

type, lty, col

arguments passed to plot and lines.

…

further arguments passed to plot like lwd, xaxs, cex.axis, etc.

Value

None. Used for plotting.

Details

This function very quickly plots a beta distribution by just specifying alpha and beta.

See Also

betaPlotComp, normPlot, dbeta, https://cran.r-project.org/package=denstrip, https://cran.r-project.org/view=Distributions

Examples

# NOT RUN {
betaPlot()
betaPlot(2,1)
betaPlot(0.5, 2)

# beta distribution is often used for proportions or probabilities
# overview of parameters
# alpha = number of successes + 1.  beta = number of failures + 1
betaPlotComp()
# a bigger: HDI (Highest Density Interval) further to the right (1)
# b bigger: HDI more to the left (0)
# both bigger: narrower HDI, stronger peak

# }