/
autoplot.ts.Rd
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autoplot.ts.Rd
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/base_fortify_ts.R
\name{autoplot.ts}
\alias{autoplot.ts}
\alias{autoplot.xts}
\alias{autoplot.timeSeries}
\alias{autoplot.irts}
\alias{autoplot.stl}
\alias{autoplot.decomposed.ts}
\title{Autoplot time-series-like}
\usage{
\method{autoplot}{ts}(
object,
columns = NULL,
group = NULL,
is.date = NULL,
index.name = "Index",
p = NULL,
ts.scale = FALSE,
stacked = FALSE,
facets = TRUE,
nrow = NULL,
ncol = 1,
scales = "free_y",
ts.geom = "line",
ts.colour = NULL,
ts.size = NULL,
ts.linetype = NULL,
ts.alpha = NULL,
ts.fill = NULL,
ts.shape = NULL,
geom = ts.geom,
colour = ts.colour,
size = ts.size,
linetype = ts.linetype,
alpha = ts.alpha,
fill = ts.fill,
shape = ts.shape,
xlim = c(NA, NA),
ylim = c(NA, NA),
log = "",
main = NULL,
xlab = "",
ylab = "",
asp = NULL,
...
)
}
\arguments{
\item{object}{time-series-like instance}
\item{columns}{Character vector specifies target column name(s)}
\item{group}{Character vector specifies grouping}
\item{is.date}{Logical frag indicates whether the \code{stats::ts} is date or not
If not provided, regard the input as date when the frequency is 4 or 12}
\item{index.name}{Specify column name for time series index when passing \code{data.frame} via data.}
\item{p}{\code{ggplot2::ggplot} instance}
\item{ts.scale}{Logical flag indicating whether to perform scaling each timeseries}
\item{stacked}{Logical flag indicating whether to stack multivariate timeseries}
\item{facets}{Logical value to specify use facets}
\item{nrow}{Number of facet/subplot rows}
\item{ncol}{Number of facet/subplot columns}
\item{scales}{Scale value passed to \code{ggplot2}}
\item{ts.geom}{geometric string for time-series. 'line', 'bar', 'ribbon', or 'point'}
\item{ts.colour}{line colour for time-series}
\item{ts.size}{point size for time-series}
\item{ts.linetype}{line type for time-series}
\item{ts.alpha}{alpha for time-series}
\item{ts.fill}{fill colour for time-series}
\item{ts.shape}{point shape for time-series}
\item{geom}{same as ts.geom}
\item{colour}{same as ts.colour}
\item{size}{same as ts.size}
\item{linetype}{same as ts.linetype}
\item{alpha}{same as ts.alpha}
\item{fill}{same as ts.fill}
\item{shape}{same as ts.shape}
\item{xlim}{limits for x axis}
\item{ylim}{limits for y axis}
\item{log}{which variables to log transform ("x", "y", or "xy")}
\item{main}{character vector or expression for plot title}
\item{xlab}{character vector or expression for x axis label}
\item{ylab}{character vector or expression for y axis label}
\item{asp}{the y/x aspect ratio}
\item{...}{other arguments passed to methods}
}
\value{
ggplot
}
\description{
Autoplot time-series-like
}
\examples{
\dontrun{
data(Canada, package = 'vars')
autoplot(AirPassengers)
autoplot(UKgas, ts.geom = 'bar')
autoplot(Canada)
autoplot(Canada, facets = FALSE)
library(zoo)
autoplot(xts::as.xts(AirPassengers))
autoplot(timeSeries::as.timeSeries(AirPassengers))
its <- tseries::irts(cumsum(rexp(10, rate = 0.1)), matrix(rnorm(20), ncol=2))
autoplot(its)
autoplot(stats::stl(UKgas, s.window = 'periodic'))
autoplot(stats::decompose(UKgas))
}
}