PBSmodelling (version 2.68.6)

plotACF: Plot Autocorrelation Bars From a Data Frame, Matrix, or Vector

Description

Plot autocorrelation bars (ACF) from a data frame, matrix, or vector.

Usage

plotACF(file, lags=20, 
    clrs=c("blue","red","green","magenta","navy"), ...)

Arguments

file

data frame, matrix, or vector of numeric values.

lags

maximum number of lags to use in the ACF calculation.

clrs

vector of colours. Patterns are repeated if the number of fields exceed the length of clrs.

...

additional arguments for plot or lines.

Details

This function is designed primarily to give greater flexibility when viewing results from the R-package BRugs. Use plotACF in conjunction with samplesHistory("*",beg=0,plot=FALSE) rather than samplesAutoC which calls plotAutoC.

Examples

# NOT RUN {
local(envir=.PBSmodEnv,expr={
  oldpar = par(no.readonly=TRUE)
  resetGraph(); plotACF(trees,lwd=2,lags=30)
  par(oldpar)
})
# }