RCT Estimators - Simple

Source: R/rct-analysis.R

RCT_estimators_simple is used as a function for RCT_analysis function to provide a simple (or reduced) estimators for RCT analysis

RCT_estimators_simple(
  control_pre_test,
  control_post_test,
  treatment_pre_test,
  treatment_post_test,
  SESOI_lower = 0,
  SESOI_upper = 0,
  na.rm = FALSE
)

Arguments

control_pre_test

Numeric vector containing Control Pre-test observations
control_post_test

Numeric vector containing Control Post-test observations
treatment_pre_test

Numeric vector containing Treatment Pre-test observations
treatment_post_test

Numeric vector containing Treatment Post-test observations
SESOI_lower

Lower smallest effect size of interest threshold
SESOI_upper

Upper smallest effect size of interest threshold
na.rm

Should NAs be removed? Default is FALSE

Value

Named numeric vector

Examples

set.seed(1666)

RCT_estimators_simple(
  control_pre_test = rnorm(20, 100, 10),
  control_post_test = rnorm(20, 105, 10),
  treatment_pre_test = rnorm(20, 100, 10),
  treatment_post_test = rnorm(20, 120, 10),
  SESOI_lower = -5,
  SESOI_upper = 5
)
#>                SESOI lower                SESOI upper 
#>                 -5.0000000                  5.0000000 
#>                SESOI range          Systematic effect 
#>                 10.0000000                 15.3761226 
#>              Random effect Systematic effect to SESOI 
#>                 16.5855601                  1.5376123 
#>     SESOI to Random effect                     pLower 
#>                  0.6029341                  0.1171214 
#>                pEquivalent                    pHigher 
#>                  0.1523848                  0.7304938