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
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)
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> 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
>