# LeBauer:Software/Statistics

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*'''coda''' tools for analysis of mcmc chains | *'''coda''' tools for analysis of mcmc chains | ||

*'''randtoolbox''' has function for generating pseudo-random samples; the [http://en.wikipedia.org/wiki/Halton_sequence halton()] function produces a pseudo-random over-dispersed matrix that I use to sampling from the distributions of ~20 parameters used in ensemble runs of the [http://128.174.125.122/wiki/index.php/ED2_Documentation ED2 ecosystem model]. | *'''randtoolbox''' has function for generating pseudo-random samples; the [http://en.wikipedia.org/wiki/Halton_sequence halton()] function produces a pseudo-random over-dispersed matrix that I use to sampling from the distributions of ~20 parameters used in ensemble runs of the [http://128.174.125.122/wiki/index.php/ED2_Documentation ED2 ecosystem model]. | ||

- | * '''adimpro''' | + | * '''adimpro''' for image analysis |

<pre> | <pre> | ||

##example R code for extracting jpg to N x M x 3 matrix | ##example R code for extracting jpg to N x M x 3 matrix |

## Revision as of 21:58, 28 July 2010

## Contents |

## R

### R packages

**ggplot2**simplifies graphical data visualization and presentation**coda**tools for analysis of mcmc chains**randtoolbox**has function for generating pseudo-random samples; the halton() function produces a pseudo-random over-dispersed matrix that I use to sampling from the distributions of ~20 parameters used in ensemble runs of the ED2 ecosystem model.-
**adimpro**for image analysis

##example R code for extracting jpg to N x M x 3 matrix ##much slower than Matlab imread() a <- read.image('file.jpg') b <- extract.image(a) red <- b[,,1] green <- b[,,2] blue <- b[,,3]

## JAGS

##### Installing Jags packages (rjags and R2jags) in R

wget http://cran.r-project.org/src/contrib/R2jags_0.01-26.tar.gz sudo R CMD INSTALL R2jags_0.01-26.tar.gz wget http://cran.r-project.org/src/contrib/rjags_1.0.3-11.tar.gz sudo R CMD INSTALL rjags_1.0.3-11.tar.gz