autoplot.acf: ggplot (Partial) Autocorrelation and Cross-Correlation...

In pli2016/forecast: Forecasting Functions for Time Series and Linear Models

Description

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

If autoplot is given an acf or mpacf function, then an appropriate ggplot object will be created.

Usage

## S3 method for class 'acf'
autoplot(object, ci=0.95, ...)
## S3 method for class 'mpacf'
autoplot(object, ...)

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, ...)
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”.
x	a univariate or multivariate (not Ccf) numeric time series object or a numeric vector or matrix.
y	a univariate numeric time series object or a numeric vector.
ci	coverage probability for confidence interval. Plotting of the confidence interval is suppressed if ci is zero or negative.
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?
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.
...	Other plotting parameters to affect the plot.

Value

None. Function produces a ggplot graph.

Author(s)

Mitchell O'Hara-Wild

See Also

plot.acf, Acf, acf, taperedacf

Examples

library(ggplot2)
ggAcf(wineind)
autoplot(Acf(wineind, plot=FALSE))
## Not run: 
autoplot(taperedacf(wineind, plot=FALSE))
ggtaperedacf(wineind)
ggtaperedpacf(wineind)
## End(Not run)
ggCcf(mdeaths, fdeaths)

pli2016/forecast documentation built on May 25, 2019, 8:22 a.m.