R: Plot density estimate or histogram

samplesDensity {BRugs}

R Documentation

Plot density estimate or histogram

Description

This function plots a smoothed kernel density estimate for a variable if it is continuous or a histogram if it is discrete.

Usage

samplesDensity(node, beg = samplesGetBeg(), end = samplesGetEnd(),
    firstChain = samplesGetFirstChain(),
    lastChain = samplesGetLastChain(), thin = samplesGetThin(),
    plot = TRUE, mfrow = c(3, 2), ask = NULL, ann = TRUE, ...)

Arguments

`node`	Character vector of length 1, name of a variable 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 plot density estimate or histogram for.
`thin`	to only use every `thin`-th value of the stored sample for statistics.
`plot`	Logical, whether to plot the trace or only return density estimates. If `TRUE`, density estimates are returned invisibly.
`mfrow`, `ask`, `ann`	Graphical parameters, see `par` for details. `ask` defaults to `TRUE` unless it is plotting into an already opened non-interactive device. The `ann` parameter is not available in S-PLUS, and will be ignored if it is set.
`...`	Further graphical parameters as in `par` may also be passed as arguments to `plotDensity`.

Details

If the variable of interest is an array, slices of the array can be selected using the notation variable[lower0:upper0, lower1:upper1, ...]. A star ‘*’ can be entered as shorthand for all the stored samples.

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

Note