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

# 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. |

## Value

A ggplot object.

## 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`

## Examples

library(ggplot2)
ggAcf(wineind)

# NOT RUN {
wineind %>% taperedacf(plot=FALSE) %>% autoplot
ggtaperedacf(wineind)
ggtaperedpacf(wineind)
# }ggCcf(mdeaths, fdeaths)