plot_power_curve: Plot power curve

In InteractionPoweR: Power Analyses for Interaction Effects in Cross-Sectional Regressions

Plot power curve

Description

Plot the output of power_interaction().

Usage

plot_power_curve(
  power_data,
  x = NULL,
  group = NULL,
  facets = NULL,
  power_target = 0.8
)

Arguments

power_data	Data frame of results from power_interaction(). Can accept the raw results if up to 3 parameters were varied during simulation. Any more and data should be filtered first.
x	Optional, the x-axis of the plot. Default is the first variable after 'pwr'.
group	Optional, grouping variable for the line color. Default is the second variable after 'pwr', if present.
facets	Optional, grouping variable for plot facets. Default is the third variable after 'pwr' if present.
power_target	The target power. Default is 80%.

Value

A ggplot2 object

Examples

 power_analysis <- power_interaction(n.iter = 10,N = seq(100,300,by=100),
 r.x1.y = 0,r.x2.y = .1,r.x1x2.y = -.2,r.x1.x2 = .3,detailed_results = TRUE)
 plot_power_curve(power_analysis)

InteractionPoweR documentation built on Sept. 11, 2024, 5:34 p.m.