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Plots a seasonal plot as described in Hyndman and Athanasopoulos (2014, chapter 2). This is like a time plot except that the data are plotted against the seasons in separate years.

Usage

ggseasonplot(
  x,
  season.labels = NULL,
  year.labels = FALSE,
  year.labels.left = FALSE,
  type = NULL,
  col = NULL,
  continuous = FALSE,
  polar = FALSE,
  labelgap = 0.04,
  ...
)

seasonplot(
  x,
  s,
  season.labels = NULL,
  year.labels = FALSE,
  year.labels.left = FALSE,
  type = "o",
  main,
  xlab = NULL,
  ylab = "",
  col = 1,
  labelgap = 0.1,
  ...
)

Arguments

x

a numeric vector or time series of class ts.

season.labels

Labels for each season in the "year"

year.labels

Logical flag indicating whether labels for each year of data should be plotted on the right.

year.labels.left

Logical flag indicating whether labels for each year of data should be plotted on the left.

type

plot type (as for plot). Not yet supported for ggseasonplot.

col

Colour

continuous

Should the colour scheme for years be continuous or discrete?

polar

Plot the graph on seasonal coordinates

labelgap

Distance between year labels and plotted lines

...

additional arguments to plot.

s

seasonal frequency of x

main

Main title.

xlab

X-axis label.

ylab

Y-axis label.

Value

None.

References

Hyndman and Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts: Melbourne, Australia. https://otexts.com/fpp2/

See also

Author

Rob J Hyndman & Mitchell O'Hara-Wild

Examples

ggseasonplot(AirPassengers, col=rainbow(12), year.labels=TRUE)

ggseasonplot(AirPassengers, year.labels=TRUE, continuous=TRUE)


seasonplot(AirPassengers, col=rainbow(12), year.labels=TRUE)