DistributionPlotBinomial {polySegratioMM} | R Documentation |
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)
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 |
Based on functions in package Rcmdr
None.
Peter Baker p.baker1@uq.edu.au
Rcmdr
Binomial
Normal
GammaDist
## Binomial distribution DistributionPlotBinomial() DistributionPlotBinomial(size=20, prob=0.2) ## Gamma distribution DistributionPlotGamma() ## Normal distribution DistributionPlotNorm()