# ggplot (Partial) Autocorrelation and Cross-Correlation Function Estimation and Plotting

Source:`R/ggplot.R`

`autoplot.acf.Rd`

Produces a ggplot object of their equivalent Acf, Pacf, Ccf, taperedacf and taperedpacf functions.

## Usage

```
# S3 method for acf
autoplot(object, ci = 0.95, ...)
ggAcf(
x,
lag.max = NULL,
type = c("correlation", "covariance", "partial"),
plot = TRUE,
na.action = na.contiguous,
demean = TRUE,
...
)
ggPacf(
x,
lag.max = NULL,
plot = TRUE,
na.action = na.contiguous,
demean = TRUE,
...
)
ggCcf(
x,
y,
lag.max = NULL,
type = c("correlation", "covariance"),
plot = TRUE,
na.action = na.contiguous,
...
)
# S3 method for mpacf
autoplot(object, ...)
ggtaperedacf(
x,
lag.max = NULL,
type = c("correlation", "partial"),
plot = TRUE,
calc.ci = TRUE,
level = 95,
nsim = 100,
...
)
ggtaperedpacf(x, ...)
```

## Arguments

- object
Object of class “

`acf`

”.- ci
coverage probability for confidence interval. Plotting of the confidence interval is suppressed if ci is zero or negative.

- ...
Other plotting parameters to affect the plot.

- x
a univariate or multivariate (not Ccf) numeric time series object or a numeric vector or matrix.

- lag.max
maximum lag at which to calculate the acf.

- type
character string giving the type of acf to be computed. Allowed values are "

`correlation`

" (the default), “`covariance`

” or “`partial`

”.- plot
logical. If

`TRUE`

(the default) the resulting ACF, PACF or CCF is plotted.- na.action
function to handle missing values. Default is

`na.contiguous`

. Useful alternatives are`na.pass`

and`na.interp`

.- demean
Should covariances be about the sample means?

- y
a univariate numeric time series object or a numeric vector.

- calc.ci
If

`TRUE`

, confidence intervals for the ACF/PACF estimates are calculated.- level
Percentage level used for the confidence intervals.

- nsim
The number of bootstrap samples used in estimating the confidence intervals.

## Details

If `autoplot`

is given an `acf`

or `mpacf`

object, then an
appropriate ggplot object will be created.

ggtaperedpacf

## See also

`plot.acf`

, `Acf`

,
`acf`

, `taperedacf`