# plot.acf

##### Plot Autocovariance and Autocorrelation Functions

Plot method for objects of class `"acf"`

.

##### Usage

```
# S3 method for 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

`"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? Can be abbreviated.

- 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.

##### 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

`library(stats)`

```
# NOT RUN {
require(graphics)
# }
# NOT RUN {
<!-- %%-- FIXME: use less trivial data : -->
# }
# NOT RUN {
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) # multi-page
# }
```

*Documentation reproduced from package stats, version 3.5.0, License: Part of R 3.5.0*