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Create CCT or Entropy Visualization Plots

Usage

indexes_plots(
  data,
  group_name,
  start_year,
  end_year,
  method = "cct",
  y_limits = NULL,
  y_limits_diff = NULL
)

Arguments

data

Data from calculate_cct or calculate_entropy function. Can be either:

  • A single data frame/tibble with columns: year, index, group

  • A named list where each element is a data frame with columns: year, index, group

group_name

Specific group to visualize

start_year

Starting year for x-axis

end_year

Ending year for x-axis

method

Character string indicating the method: "cct" or "entropy"

y_limits

Optional numeric vector of length 2 (c(min, max)) to fix the y-axis range for the absolute values plot. If NULL (default), auto-scales per group.

y_limits_diff

Optional numeric vector of length 2 (c(min, max)) to fix the y-axis range for the differences plot. If NULL (default), auto-scales per group.

Value

A plotly object with combined plots