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autoplot.ts

Automatically create a ggplot for time series objects

Description

autoplot takes an object of type ts or mts and creates a ggplot object suitable for usage with stat_forecast.

Usage

## S3 method for class 'mts'
autolayer(object, colour = TRUE, series = NULL, ...)

## S3 method for class 'msts'
autolayer(object, series = NULL, ...)

## S3 method for class 'ts'
autolayer(object, colour = TRUE, series = NULL, ...)

## S3 method for class 'ts'
autoplot(
  object,
  series = NULL,
  xlab = "Time",
  ylab = deparse(substitute(object)),
  main = NULL,
  ...
)

## S3 method for class 'mts'
autoplot(
  object,
  colour = TRUE,
  facets = FALSE,
  xlab = "Time",
  ylab = deparse(substitute(object)),
  main = NULL,
  ...
)

## S3 method for class 'msts'
autoplot(object, ...)

## S3 method for class 'ts'
fortify(model, data, ...)

Arguments

object

Object of class “ts” or “mts”.
colour

If TRUE, the time series will be assigned a colour aesthetic
series

Identifies the timeseries with a colour, which integrates well with the functionality of geom_forecast.
...

Other plotting parameters to affect the plot.
xlab

X-axis label.
ylab

Y-axis label.
main

Main title.
facets

If TRUE, multiple time series will be faceted (and unless specified, colour is set to FALSE). If FALSE, each series will be assigned a colour.
model

Object of class “ts” to be converted to “data.frame”.
data

Not used (required for fortify method)

Details

fortify.ts takes a ts object and converts it into a data frame (for usage with ggplot2).

Value

None. Function produces a ggplot graph.

Author(s)

Mitchell O'Hara-Wild

See Also

Examples

library(ggplot2)
autoplot(USAccDeaths)

lungDeaths <- cbind(mdeaths, fdeaths)
autoplot(lungDeaths)
autoplot(lungDeaths, facets=TRUE)
forecast

Forecasting Functions for Time Series and Linear Models

v8.14
GPL-3
Authors
Rob Hyndman [aut, cre, cph] (<https://orcid.org/0000-0002-2140-5352>), George Athanasopoulos [aut], Christoph Bergmeir [aut] (<https://orcid.org/0000-0002-3665-9021>), Gabriel Caceres [aut], Leanne Chhay [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Fotios Petropoulos [aut] (<https://orcid.org/0000-0003-3039-4955>), Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut] (<https://orcid.org/0000-0002-1479-5401>), R Core Team [ctb, cph], Ross Ihaka [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb] (<https://orcid.org/0000-0001-5243-233X>), Zhenyu Zhou [ctb]
Initial release

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