Last data update: 2014.03.03

R: Density function of a histogram distribution
 histprior R Documentation

## 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

 `p` vector of values for which density is to be computed `midpts` vector of midpoints of the intervals `prob` vector of probabilities of the intervals

### Value

vector of values of the probability density

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)

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/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
>

```