samplesCorrel {BRugs} | R Documentation

## Correlation

### Description

This function calculates the correlation matrix between two vectors of variables.

### Usage

    samplesCorrel(node0, node1, beg = samplesGetBeg(),
        end = samplesGetEnd(), firstChain = samplesGetFirstChain(),
        lastChain = samplesGetLastChain(), thin = samplesGetThin())

### Arguments

`node0, node1` | Character vectors of length 1, name of variables in the model.
`beg, end` | Arguments to select a slice of monitored values corresponding to iterations `beg:end`.
`firstChain, lastChain` | Arguments to select a sub group of chains to calculate correlation(s) for.
`thin` | to only use every `thin`-th value of the stored sample for statistics.

### Details

If the variable of interest is an array, slices of the array can be selected using the notation `variable[lower0:upper0, lower1:upper1, ...]`.

If the arguments are left at their defaults the whole sample for all chains will be used for calculation.

### Value

Correlation matrix.

### Note

If the MCMC simulation has an adaptive phase it will not be possible to make inference using values sampled before the end of this phase.

### See Also

`BRugs`, `help.WinBUGS`

[Package BRugs version 0.3-2 Index]