R/ggplot.R
autoplot.acf.Rd
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, ...)
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. 
A ggplot object.
If autoplot
is given an acf
or mpacf
object, then an
appropriate ggplot object will be created.
ggtaperedpacf
plot.acf
, Acf
,
acf
, taperedacf
Mitchell O'HaraWild
if (FALSE) { wineind %>% taperedacf(plot=FALSE) %>% autoplot ggtaperedacf(wineind) ggtaperedpacf(wineind)} ggCcf(mdeaths, fdeaths)