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Plot time-series based on the results of a signal detection algorithm, being alarms, threshold and expectation

plot_time_series.Rd

Static plots (default) are only based on the dates of the latest `number_of_weeks` weeks. Interactive plots are based on all data, but zoom in by default on the latest `number_of_weeks` weeks.

Usage

plot_time_series(
  results,
  interactive = FALSE,
  intervention_date = NULL,
  number_of_weeks = 52,
  partial = FALSE
)

Arguments

results

data returned by the get_signals_farringtonflexible()

interactive

logical, if TRUE, interactive plot is returned; default, static plot.

intervention_date

A date object or character of format yyyy-mm-dd or NULL specifying the date for the intervention in the pandemic correction models. Default is NULL which indicates that no intervention is done.The intervention is marked with a dashed line.

number_of_weeks

number of weeks to be covered in the plot

partial

logical, add partial bundle to plotly

Value

either a gg or plotly object

Examples

if (FALSE) { # \dontrun{
data <- read.csv("data/input/input.csv", header = TRUE, sep = ",")
results <- get_signals_farringtonflexible(data)
plot_time_series(results)
} # }