DistributionPlotBinomial function

Distribution Plot

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

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

Returns

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()