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Plot hierarchical moving-window statistical analysis for time series.

Source: R/TH_plots.R
TH_plots.Rd

Plots hierarchical moving-window statistical analysis for single time series. It returns analysis on moving average and running trends. The input is a data.frame created by TH_single() function.

Usage

TH_plots(results, scale = NULL, output_file = NULL, mask = FALSE, mode = NULL)

Arguments

`result`

is a data.frame created by to TH_single().

`scale`

a numeric, scaling factor for point sizes, autoset by default.

`output_file`

is a string, optional, filename to save plot (NULL to skip saving), NULL by default.

`mask`

a logical value. If TRUE, enhances main plots by using point shapes to indicate statistical significance (if available). Only applicable for modes: "all", "trend_with_test", and "avg_with_test". For other modes, a warning is issued and mask is ignored.

`mode`

a character string specifying the computation mode. One of: "all", "avg_only", "trend_only", "avg_trend", "trend_with_test", "avg_with_test". By default it takes the mode passed as attribute by results.

Value

A ggplot or gridExtra arranged plot object.

Author

Vladimiro Andrea Boselli, (2025) boselli.v@irea.cnr.it

Examples

 if (FALSE) {
results <- TH_single(series, 4, 6)
TH_plots(results)
TH_plots(results, output_file = output_file, mask = TRUE, mode = "avg_with_test")
}