Last data update: 2014.03.03

R: Plot of prior, likelihood and posterior for a proportion
triplotR Documentation

Plot of prior, likelihood and posterior for a proportion

Description

For a proportion problem with a beta prior, plots the prior, likelihood and posterior on one graph.

Usage

triplot(prior,data,where="topright")

Arguments

prior

vector of parameters for beta prior

data

vector consisting of number of successes and number of failures

where

the location of the legend for the plot

Author(s)

Jim Albert

Examples

prior=c(3,10)  # proportion has a beta(3, 10) prior
data=c(10,6)   # observe 10 successes and 6 failures
triplot(prior,data)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(LearnBayes)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LearnBayes/triplot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: triplot
> ### Title: Plot of prior, likelihood and posterior for a proportion
> ### Aliases: triplot
> ### Keywords: models
> 
> ### ** Examples
> 
> prior=c(3,10)  # proportion has a beta(3, 10) prior
> data=c(10,6)   # observe 10 successes and 6 failures
> triplot(prior,data)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>