| autoplot.acf {forecast} | R Documentation | 
ggplot (Partial) Autocorrelation and Cross-Correlation Function Estimation and Plotting
Description
Produces a ggplot object of their equivalent Acf, Pacf, Ccf, taperedacf and taperedpacf functions.
Usage
## S3 method for class '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 class '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 “ | 
| 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 " | 
| plot | logical. If  | 
| na.action | function to handle missing values. Default is
 | 
| demean | Should covariances be about the sample means? | 
| y | a univariate numeric time series object or a numeric vector. | 
| calc.ci | If  | 
| 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
Value
A ggplot object.
Author(s)
Mitchell O'Hara-Wild
See Also
plot.acf, Acf,
acf, taperedacf
Examples
library(ggplot2)
ggAcf(wineind)
wineind %>% Acf(plot=FALSE) %>% autoplot
## Not run: 
wineind %>% taperedacf(plot=FALSE) %>% autoplot
ggtaperedacf(wineind)
ggtaperedpacf(wineind)
## End(Not run)
ggCcf(mdeaths, fdeaths)