Density function of a histogram distribution

Description

Computes the density of a probability distribution defined on a set of equal-width intervals

Usage

histprior(p,midpts,prob)

Arguments

Value

vector of values of the probability density

Author(s)

Jim Albert

Examples

midpts=c(.1,.3,.5,.7,.9)
prob=c(.2,.2,.4,.1,.1)
p=seq(.01,.99,by=.01)
plot(p,histprior(p,midpts,prob),type="l")

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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> library(LearnBayes)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LearnBayes/histprior.Rd_%03d_medium.png", width=480, height=480)
> ### Name: histprior
> ### Title: Density function of a histogram distribution
> ### Aliases: histprior
> ### Keywords: models
> 
> ### ** Examples
> 
> midpts=c(.1,.3,.5,.7,.9)
> prob=c(.2,.2,.4,.1,.1)
> p=seq(.01,.99,by=.01)
> plot(p,histprior(p,midpts,prob),type="l")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>