plot.macf {Boom} | R Documentation |
Plots individual autocorrelation functions for many-valued time series
Description
Produces individual autocorrelation functions for many-valued time
series such as those produced by highly multivariate MCMC output.
Cross-correlations such as those produced by acf
are not shown.
Usage
PlotMacf(x, lag.max = 40, gap = 0.5, main = NULL, boxes = TRUE,
xlab = "lag", ylab = "ACF", type = "h")
Arguments
x |
matrix or 3-way array of MCMC output (or other time series). The first dimension represents discrete time. |
lag.max |
maximum lag to use when computing ACF's. |
gap |
non-negative scalar. gap between plots |
main |
character. main title for the plot |
boxes |
logical. Should boxes be drawn around the plots |
xlab |
character label for horizontal axis. |
ylab |
character label for vertical axis. |
type |
type of line plot to show. Defaults to "h". See
|
Value
Called for its side effect
Author(s)
Steven L. Scott
See Also
Examples
x <- matrix(rnorm(1000), ncol=10)
PlotMacf(x)
[Package Boom version 0.9.15 Index]