Plot Coverage Probabilities — FigScatterPlotCoverage • manCTMed

Coverage probabilities for the model \(X \to M \to Y\).

Usage

FigScatterPlotCoverage(results, delta_t = NULL, dynamics = 0, std = FALSE)

Arguments

results: Summary results data frame.
delta_t: Vector of time-interval value. If delta_t = NULL, use all available time-intervals
dynamics: Integer. dynamics = 0 for original drift matrix, dynamics = -1 for near-neutral dynamics, and dynamics = 1 for stronger damping.
std: Logical. If std = TRUE, standardized total, direct, and indirect effects. If std = FALSE, unstandardized total, direct, and indirect effects.

See also

Other Figure Functions: FigPlotEffects(), FigScatterPlotPower(), FigScatterPlotSeBias(), FigScatterPlotType1(), IllustrationFigPlotEffects(), IllustrationFigScatterPlotCoverage(), IllustrationFigScatterPlotPower(), IllustrationFigScatterPlotSeBias()

Author

Ivan Jacob Agaloos Pesigan

Examples

data(results, package = "manCTMed")
FigScatterPlotCoverage(results)

FigScatterPlotCoverage(results, delta_t = 1:14)

FigScatterPlotCoverage(results, delta_t = 15:30)