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(k-1) 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.
xpd = NA used to be the default for R version <= 1.4.0.
|
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) # multi-page