plotCLRS: Plot confidence level response surface

In IntiQuan/populationIsoboles: Calculate isoboles efficiently

Description

Plot confidence level response surface

Usage

plotCLRS(
  .inputFolder,
  filename = NULL,
  levels = c(0.5, 0.95),
  Compound1 = getCompoundInfo("Compound1"),
  Compound2 = getCompoundInfo("Compound2"),
  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)
Compound1	Character. Compound name, for cases when it's not available in the Malaria project
Compound2	Character. Compound name, for cases when it's not available in the Malaria project
FLAGoverwriteQuantiles	Redo the calculation of the quantiles?
...	Arguments goint to ggsave

Author(s)

Daniel Lill ([e-mail])

See Also

Other Isobole plotting: plotRibbon()

Examples

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

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