plotBinom {LearningStats}R Documentation

Probability Mass and/or Distribution Function Representations associated with a Binomial Distribution

Description

plotBinom represents the probability mass and/or the distribution function associated with a Binomial distribution with certain parameters n and p.

Usage

plotBinom(n, p, type = "b", col = "grey")

Arguments

n

the number of independent Bernoulli trials.

p

the probability of success associated with the Bernoulli trial.

type

a character string giving the type of desired plot. The following values are possible: "b" (default) for probability mass function and distribution function representations together, "d" for distribution function representation and "p" for probability mass function representation.

col

a single colour associated with the probability mass function representation; default to "grey".

Details

Note that if n=1, the Binomial distribution is also known as Bernoulli distribution.

Value

A matrix containing the probability mass and the distribution function associated with each point of the support of a Binomial distribution with parameters n and p.

This function is called for the side effect of drawing the plot.

Examples

n=10;p=0.3
plotBinom(n,p,type="d")
plotBinom(n,p,type="p",col="pink")
plotBinom(n,p)

[Package LearningStats version 0.1.0 Index]