plot.bmbstats_RCT_analysis: S3 method for plotting 'RCT_analysis' results

In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics

Description

S3 method for plotting RCT_analysis results

Usage

## S3 method for class 'bmbstats_RCT_analysis'
plot(x, type = "boot", ...)

Arguments

x	Object of class bmbstats_RCT_analysis
type	Type of plot. Options are "boot", "control-pre-post", "treatment-pre-post", "control-change", "treatment-change", "change", "control-paired-change", "treatment-paired-change", "change-distribution", "effect-distribution", "adjusted-treatment-responses", and "treatment-responses". Default is "boot"
...	Extra arguments. Use plot_control to control plotting style

Examples

set.seed(1666)

data("vertical_jump_data")

rct_model <- RCT_analysis(
  vertical_jump_data,
  group = "Group",
  treatment_label = "Treatment",
  control_label = "Control",
  pre_test = "Pre-test",
  post_test = "Post-test",
  control = model_control(boot_type = "perc", boot_samples = 500)
)

rct_model

plot(rct_model)

mladenjovanovic/bmbstats documentation built on Aug. 5, 2020, 4:20 p.m.