PlotProbDist {DescTools} R Documentation

## Plot Probability Distribution

### Description

Produce a plot from a probability distribution with shaded areas. This is often needed in theory texts for classes in statistics.

### Usage

PlotProbDist(breaks, FUN,
blab = NULL, main = "", xlim = NULL, col = NULL, density = 7,
alab = LETTERS[1:(length(breaks) - 1)],
alab_x = NULL, alab_y = NULL, ylab = "density", ...)


### Arguments

 breaks a numeric vector containing the breaks of different areas. The start and end must not be infinity. FUN the (typically) distribution function blab text for labelling the breaks main main title for the plot xlim the x-limits for the plot col the color for the shaded areas density the density for the shaded areas alab the labels for areas alab_x the x-coord for the area labels alab_y the y-coord for the area labels, if left to default they will be placed in the middle of the plot ylab the label for they y-axis ... further parameters passed to internally used function curve()

### Details

The function sets up a two-step plot procedure based on curve() and Shade() with additional labelling for convenience.

nothing returned

### Author(s)

Andri Signorell <andri@signorell.net>

Shade, curve, polygon

### Examples

# plot t-distribution
PlotProbDist(breaks=c(-6, -2.3, 1.5, 6),
function(x) dt(x, df=8),
blab=c("A","B"), xlim=c(-4,4), alab=NA,
main="t-Distribution (df=8)",
col=c(hred, hblue, horange), density=c(20, 7))

# Normal
PlotProbDist(breaks=c(-10, -1, 12),
function(x) dnorm(x, mean=2, sd=2),
blab="A", xlim=c(-7,10),
main="Normal-Distribution N(2,2)",
col=c(hred, hblue), density=c(20, 7))

# same for Chi-square
PlotProbDist(breaks=c(0, 15, 35),
function(x) dchisq(x, df=8),
blab="B", xlim=c(0, 30),
main=expression(paste(chi^2-Distribution, " (df=8)")),
col=c(hblue, hred), density=c(0, 20))


[Package DescTools version 0.99.51 Index]