plotRibbon: Quick plotting of simulation results

In IntiQuan/populationIsoboles: Calculate isoboles efficiently

Description

This plot gives a feeling of the spread of the population isoboles. Its interpretation is difficult, therefore the plot is deprecated.

Usage

plotRibbon(
  .inputFolder,
  filename = NULL,
  levels = c(min = 0.025, max = 0.975),
  FLAGoverwriteQuantiles = determineRecalcNeccessary(.inputFolder = .inputFolder,
    fileToRecalc = "GLOBAL-101-percentages-grid_fine.rds"),
  ...
)

Arguments

.inputFolder	Folder where simulations are stored. Example: file.path(.outputFolder, "Simulations")
filename	Path to save plot
levels	Vector of confidence levels, e.g. c(0.5,0.95). For plotRibbon, named vector with min and max, e.g. c(min = 0.025, max = 0.975)
FLAGoverwriteQuantiles	Redo the calculation of the quantiles?
...	Arguments goint to ggsave

Value

ggplot

See Also

Other Isobole plotting: plotCLRS()

Examples

.inputFolder <- system.file("examples/Example-1/Outputs/Simulations",
  package = "populationIsoboles")
populationIsoboles:::plotRibbon(.inputFolder)

IntiQuan/populationIsoboles documentation built on Jan. 13, 2022, 8:29 p.m.