Last data update: 2014.03.03

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

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.
'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
>

```