R: Plot an object of class mixture

plot.mixture {opera}

R Documentation

Plot an object of class mixture

Description

provides different diagnostic plots for an aggregation procedure.

Usage

## S3 method for class 'mixture'
plot(
  x,
  pause = FALSE,
  col = NULL,
  alpha = 0.01,
  dynamic = T,
  type = "all",
  max_experts = 50,
  col_by_weight = TRUE,
  ...
)

Arguments

`x`	an object of class mixture. If awake is provided (i.e., some experts are unactive), their residuals and cumulative losses are computed by using the predictions of the mixture.
`pause`	if set to TRUE (default) displays the plots separately, otherwise on a single page
`col`	the color to use to represent each experts, if set to NULL (default) use R`RColorBrewer::brewer.pal(...,"Spectral"`
`alpha`	`numeric`. Smoothing parameter for contribution plot (parameter 'f' of function `lowess`).
`dynamic`	`boolean`. If TRUE, graphs are generated with `rAmCharts`, else with base R.
`type`	`char`. 'all' Display all the graphs ; 'plot_weight', 'boxplot_weight', 'dyn_avg_loss', 'cumul_res', 'avg_loss', 'contrib' Display the selected graph alone.
`max_experts`	`integer`. Maximum number of experts to be displayed (only the more influencial).
`col_by_weight`	`boolean`. If TRUE (default), colors are ordered by weights of each expert, else by column
`...`	additional plotting parameters

Value

plots representing: plot of weights of each expert in function of time, boxplots of these weights, cumulative loss L_T=\sum_{t=1}^T l_{i,t} of each expert in function of time, cumulative residuals \sum_{t=1}^T (y_t-f_{i,t}) of each expert's forecast in function of time, average loss suffered by the experts and the contribution of each expert to the aggregation p_{i,t}f_{i,t} in function of time.

Author(s)

Pierre Gaillard <pierre@gaillard.me>