| plot.fforecast {Rfssa} | R Documentation | 
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  | 
| 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
Examples
# 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)