plot.acf {stats}  R Documentation 
Plot Autocovariance and Autocorrelation Functions
Description
Plot method for objects of class "acf"
.
Usage
## S3 method for class 'acf'
plot(x, ci = 0.95, type = "h", xlab = "Lag", ylab = NULL,
ylim = NULL, main = NULL,
ci.col = "blue", ci.type = c("white", "ma"),
max.mfrow = 6, ask = Npgs > 1 && dev.interactive(),
mar = if(nser > 2) c(3,2,2,0.8) else par("mar"),
oma = if(nser > 2) c(1,1.2,1,1) else par("oma"),
mgp = if(nser > 2) c(1.5,0.6,0) else par("mgp"),
xpd = par("xpd"),
cex.main = if(nser > 2) 1 else par("cex.main"),
verbose = getOption("verbose"),
...)
Arguments
x 
an object of class 
ci 
coverage probability for confidence interval. Plotting of
the confidence interval is suppressed if 
type 
the type of plot to be drawn, default to histogram like vertical lines. 
xlab 
the x label of the plot. 
ylab 
the y label of the plot. 
ylim 
numeric of length 2 giving the y limits for the plot. 
main 
overall title for the plot. 
ci.col 
colour to plot the confidence interval lines. 
ci.type 
should the confidence limits assume a white noise
input or for lag 
max.mfrow 
positive integer; for multivariate 
ask 
logical; if 
mar , oma , mgp , xpd , cex.main 
graphics parameters as in

verbose 
logical. Should R report extra information on progress? 
... 
graphics parameters to be passed to the plotting routines. 
Note
The confidence interval plotted in plot.acf
is based on an
uncorrelated series and should be treated with appropriate
caution. Using ci.type = "ma"
may be less potentially
misleading.
See Also
acf
which calls plot.acf
by default.
Examples
require(graphics)
z4 < ts(matrix(rnorm(400), 100, 4), start = c(1961, 1), frequency = 12)
z7 < ts(matrix(rnorm(700), 100, 7), start = c(1961, 1), frequency = 12)
acf(z4)
acf(z7, max.mfrow = 7) # squeeze onto 1 page
acf(z7) # multipage