DistributionPlotBinomial {polySegratioMM}R Documentation

Distribution Plot

Description

Plots probability density function given the parameters. May be useful when investigating parameter choice for prior distributions.

Usage

DistributionPlotBinomial(size = 200, prob = 0.5,
xlab = "Number of Successes", ylab = "Probability Mass", signif.digits = 3,
main = paste("Binomial Distribution: n =", size, "p =",
signif(prob, digits = signif.digits)))

DistributionPlotGamma(shape = 1, rate = 1, length = 100, xlab = "x",
ylab = "Density", main = bquote(paste("Gamma Distribution: ", alpha,
"=", .(signif(shape, digits = signif.digits)), ",", beta, "=",
.(signif(rate, digits = signif.digits)))), signif.digits = 3)

DistributionPlotNorm(mean = 0, sd = 1, length = 100, xlab = "x", ylab =
"Density", main = bquote(paste("Normal Distribution: ", mu, "=",
.(signif(mean, digits = signif.digits)), ",", sigma, "=", .(signif(sd,
digits = signif.digits)))), signif.digits = 3)

Arguments

size number of trials (Binomial)
prob probability of success (Binomial)
shape shape parameter. Must be strictly positive. (Gamma)
rate an alternative way to specify the scale (Gamma)
mean mean (Normal)
sd standard deviation (Normal)
xlab x-axis label
ylab y-axis label
signif.digits number of significant digits for default main title
main title for plot
length Number of points to use for obtaining a smooth curve

Details

Based on functions in package Rcmdr

Value

None.

Author(s)

Peter Baker p.baker1@uq.edu.au

See Also

Rcmdr Binomial Normal GammaDist

Examples

## Binomial distribution
DistributionPlotBinomial()
DistributionPlotBinomial(size=20, prob=0.2)

## Gamma distribution
DistributionPlotGamma()

## Normal distribution
DistributionPlotNorm()

[Package polySegratioMM version 0.5-2 Index]