autoplot.acf  R Documentation 
Produces a ggplot object of their equivalent Acf, Pacf, Ccf, taperedacf and taperedpacf functions.
## 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, ...)
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. 
If autoplot
is given an acf
or mpacf
object, then an
appropriate ggplot object will be created.
ggtaperedpacf
A ggplot object.
Mitchell O'HaraWild
plot.acf
, Acf
,
acf
, taperedacf
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.