Description Usage Arguments Value Author(s) See Also Examples
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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## 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, ...)
|
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
" |
plot |
logical. If |
na.action |
function to handle missing values. Default is |
demean |
Should covariances be about the sample means? |
calc.ci |
If |
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. |
None. Function produces a ggplot graph.
Mitchell O'Hara-Wild
plot.acf
, Acf
, acf
,
taperedacf
1 2 3 4 5 6 7 8 9 |
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