RCT_analysis: RCT Analysis

In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics

Description

Wrapper function for bmbstats function to provide modular analysis for the Randomized Controlled Trials

Usage

RCT_analysis(
  data,
  group,
  treatment_label,
  control_label,
  pre_test,
  post_test,
  SESOI_lower = SESOI_lower_RCT_func,
  SESOI_upper = SESOI_upper_RCT_func,
  estimator_function = RCT_estimators,
  control = model_control(),
  na.rm = FALSE
)

Arguments

data	Data frame
group	Character vector indicating the name of the column in data where group information is stored
treatment_label	Character vector indicating the label inside the group column for the treatment group
control_label	Character vector indicating the label inside the group column for the control group
pre_test	Character vector indicating the name of the column in data where Pre-test observations are located
post_test	Character vector indicating the name of the column in data where Post-test observations are located
SESOI_lower	Function or numeric scalar. Default is SESOI_lower_RCT_func
SESOI_upper	Function or numeric scalar. Default is SESOI_upper_RCT_func
estimator_function	Function for providing RCT estimators. Default is RCT_estimators
control	Control object returned from model_control function. Use boot_type, boot_samples, boot_strata, and confidence to setup bootstrap.
na.rm	Should NAs be removed? Default is FALSE

Value

Object of class bmbstats_RCT_analysis

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.