R Graphical Manual

Browse All

Last data update: 2014.03.03

R: Simulated draws from a bivariate density function on a grid

simcontour

R Documentation

Simulated draws from a bivariate density function on a grid

Description

For a general two parameter density defined on a grid, simulates a random sample.

Usage

simcontour(logf,limits,data,m)

Arguments

`logf`	function that defines the logarithm of the density
`limits`	limits (xlo, xhi, ylo, yhi) that cover the joint probability density
`data`	vector or list of parameters associated with the function logpost
`m`	size of simulated sample

Value

`x`	vector of simulated draws of the first parameter
`y`	vector of simulated draws of the second parameter

Author(s)

Jim Albert

Examples

m=array(c(0,0),c(2,1))
v=array(c(1,.6,.6,1),c(2,2))
normpar=list(m=m,v=v)
s=simcontour(lbinorm,c(-4,4,-4,4),normpar,1000)
plot(s$x,s$y)

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/simcontour.Rd_%03d_medium.png", width=480, height=480)
> ### Name: simcontour
> ### Title: Simulated draws from a bivariate density function on a grid
> ### Aliases: simcontour
> ### Keywords: models
> 
> ### ** Examples
> 
> m=array(c(0,0),c(2,1))
> v=array(c(1,.6,.6,1),c(2,2))
> normpar=list(m=m,v=v)
> s=simcontour(lbinorm,c(-4,4,-4,4),normpar,1000)
> plot(s$x,s$y)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>