plot.acf {stats}  R Documentation 
Plot method for objects of class "acf"
.
## 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"), ...)
x 
an object of class "acf" . 
ci 
coverage probability for confidence interval. Plotting of
the confidence interval is suppressed if ci is zero or
negative. 
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 k an MA(k1) input? 
max.mfrow 
positive integer; for multivariate x
indicating how many rows and columns of plots should be put on one
page, using par(mfrow = c(m,m)) . 
ask 
logical; if TRUE , the user is asked before a new
page is started. 
mar, oma, mgp, xpd, cex.main 
graphics parameters as in
par(*) , by default adjusted to use smaller than
default margins for multivariate x only.

verbose 
logical. Should R report extra information on progress? 
... 
graphics parameters to be passed to the plotting routines. 
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.
acf
which calls plot.acf
by default.
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 on 1 page acf(z7) # multipage