plot.fforecast: Plot Method for FSSA Forecast (fforecast) Class

In Rfssa: Functional Singular Spectrum Analysis

Plot Method for FSSA Forecast (fforecast) Class

Description

Create visualizations of FSSA Forecast (fforecast) class. This function supports plotting 'fforecast' data with one-dimensional or two-dimensional domains.

Usage

## S3 method for class 'fforecast'
plot(
  x,
  group_index = NULL,
  ask = TRUE,
  npts = 100,
  obs = 1,
  main = NULL,
  col = NULL,
  ori_col = NULL,
  type = "l",
  lty = 1,
  ...
)

Arguments

x	an object of class fforecast.
group_index	an integer specifying the group index for the plot.
ask	logical: If 'TRUE', and 'group_index' be 'NULL', after printing the first grouping graphic, it will pause when the user asks for the next group graphic and wait.
npts	number of grid points for the plots.
obs	observation number (for two-dimensional domains).
main	main title for the plot.
col	specify the predicted FTS color; if it is 'NULL', it will be set as the default.
ori_col	specify the original FTS color; if it is 'NULL', it will be set as the default.
type	type of plot ("l" for line, "p" for points, etc.).
lty	line type (1 for solid, 2 for dashed, etc.).
...	additional graphical parameters passed to plotting functions.

See Also

fforecast

Examples

## Not run: 
# Example with one-dimensional domain
data("Callcenter")
# FSSA Decomposition step:
fssa_results <- fssa(Callcenter, L = 28)

# Perform FSSA R-forecasting
pr_V <- fforecast(U = fssa_results, groups = list(1,1:7),
                  len = 14, method = "vector", only.new = FALSE)

plot(pr_V)

## End(Not run)

Rfssa documentation built on Oct. 27, 2023, 1:08 a.m.