https://github.com/cran/forecast
Revision 2d35898db2f87accb4ebb0ed9a7d82ce0611fbcd authored by Rob Hyndman on 25 July 2022, 13:10:07 UTC, committed by cran-robot on 25 July 2022, 13:10:07 UTC
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Tip revision: 2d35898db2f87accb4ebb0ed9a7d82ce0611fbcd authored by Rob Hyndman on 25 July 2022, 13:10:07 UTC
version 8.17.0
version 8.17.0
Tip revision: 2d35898
tsdisplay.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ggplot.R, R/graph.R
\name{ggtsdisplay}
\alias{ggtsdisplay}
\alias{tsdisplay}
\title{Time series display}
\usage{
ggtsdisplay(
x,
plot.type = c("partial", "histogram", "scatter", "spectrum"),
points = TRUE,
smooth = FALSE,
lag.max,
na.action = na.contiguous,
theme = NULL,
...
)
tsdisplay(
x,
plot.type = c("partial", "histogram", "scatter", "spectrum"),
points = TRUE,
ci.type = c("white", "ma"),
lag.max,
na.action = na.contiguous,
main = NULL,
xlab = "",
ylab = "",
pch = 1,
cex = 0.5,
...
)
}
\arguments{
\item{x}{a numeric vector or time series of class \code{ts}.}
\item{plot.type}{type of plot to include in lower right corner.}
\item{points}{logical flag indicating whether to show the individual points
or not in the time plot.}
\item{smooth}{logical flag indicating whether to show a smooth loess curve
superimposed on the time plot.}
\item{lag.max}{the maximum lag to plot for the acf and pacf. A suitable
value is selected by default if the argument is missing.}
\item{na.action}{function to handle missing values in acf, pacf and spectrum
calculations. The default is \code{\link[stats]{na.contiguous}}. Useful
alternatives are \code{\link[stats]{na.pass}} and \code{\link{na.interp}}.}
\item{theme}{Adds a ggplot element to each plot, typically a theme.}
\item{\dots}{additional arguments to \code{\link[stats]{acf}}.}
\item{ci.type}{type of confidence limits for ACF that is passed to
\code{\link[stats]{acf}}. Should the confidence limits assume a white noise
input or for lag \eqn{k} an MA(\eqn{k-1}) input?}
\item{main}{Main title.}
\item{xlab}{X-axis label.}
\item{ylab}{Y-axis label.}
\item{pch}{Plotting character.}
\item{cex}{Character size.}
}
\value{
None.
}
\description{
Plots a time series along with its acf and either its pacf, lagged
scatterplot or spectrum.
}
\details{
\code{ggtsdisplay} will produce the equivalent plot using ggplot graphics.
}
\examples{
library(ggplot2)
ggtsdisplay(USAccDeaths, plot.type="scatter", theme=theme_bw())
tsdisplay(diff(WWWusage))
ggtsdisplay(USAccDeaths, plot.type="scatter")
}
\references{
Hyndman and Athanasopoulos (2018) \emph{Forecasting: principles
and practice}, 2nd edition, OTexts: Melbourne, Australia.
\url{https://otexts.com/fpp2/}
}
\seealso{
\code{\link[stats]{plot.ts}}, \code{\link{Acf}},
\code{\link[stats]{spec.ar}}
}
\author{
Rob J Hyndman
}
\keyword{ts}
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