betaPlot {berryFunctions}  R Documentation 
Quick and nice plot of beta density distribution based on just alpha and beta
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"), ... )
shape1 
Alpha value as in 
shape2 
Beta value. DEFAULT: 5 
lines 
Quantiles at which vertical lines should be plotted. DEFAULT: NA 
fill 
Color passed to 
cumulative 
Should cumulative density distribution be added? DEFAULT: TRUE 
mar 
Margins for plot passed to 
keeppar 
Should margin parameters be kept instead of being restored to previous value? DEFAULT: FALSE 
las 
Label orientation, argument passed to 
main 
main as in 
ylim, xlim 
limit for the y and x axis. DEFAULT: lim0(y), 0:1 
ylab, xlab 
labels for the axes. DEFAULT: "" 
type, lty, col 

... 
further arguments passed to 
This function very quickly plots a beta distribution by just specifying alpha and beta.
None. Used for plotting.
Berry Boessenkool, berryb@gmx.de, July 2014
betaPlotComp
, normPlot
, dbeta
,
https://cran.rproject.org/package=denstrip,
https://cran.rproject.org/view=Distributions
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