Last data update: 2014.03.03

R: Plot of predictive distribution for binomial sampling with a...
predplotR Documentation

Plot of predictive distribution for binomial sampling with a beta prior

Description

For a proportion problem with a beta prior, plots the prior predictive distribution of the number of successes in n trials and displays the observed number of successes.

Usage

predplot(prior,n,yobs)

Arguments

prior

vector of parameters for beta prior

n

sample size

yobs

observed number of successes

Author(s)

Jim Albert

Examples

prior=c(3,10)  # proportion has a beta(3, 10) prior
n=20   # sample size
yobs=10  # observed number of successes
predplot(prior,n,yobs)

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/predplot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: predplot
> ### Title: Plot of predictive distribution for binomial sampling with a
> ###   beta prior
> ### Aliases: predplot
> ### Keywords: models
> 
> ### ** Examples
> 
> prior=c(3,10)  # proportion has a beta(3, 10) prior
> n=20   # sample size
> yobs=10  # observed number of successes
> predplot(prior,n,yobs)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>