S3 method for printing RCT_analysis results

S3 method for printing RCT_analysis results

# S3 method for bmbstats_RCT_analysis
print(x, ...)

Arguments

x	Object of class bmbstats_RCT_analysis
...	Extra arguments. Not used

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)
)
#> Bootstraping: 500 resamples
#> Calculating confidence intervals...
#> Done!

rct_model
#> Bootstrap with 500 resamples and 95% perc confidence intervals.
#> 
#>                           estimator       value        lower       upper
#>                         SESOI lower -0.80259313 -0.916937793 -0.62217424
#>                         SESOI upper  0.80259313  0.622174241  0.91693779
#>                         SESOI range  1.60518625  1.244348481  1.83387559
#>         Control Group Pre-test mean 41.97201858 40.070726393 43.89983516
#>           Control Group Pre-test SD  3.87342737  2.571005252  4.83773470
#>        Control Group Post-test mean 41.51639922 39.323466781 43.66490461
#>          Control Group Post-test SD  4.49231955  3.008126445  5.49275343
#>       Treatment Group Pre-test mean 43.40125919 41.231916433 45.55214419
#>         Treatment Group Pre-test SD  4.14781229  2.978642673  4.82792917
#>      Treatment Group Post-test mean 50.64446956 48.115227975 53.36833663
#>        Treatment Group Post-test SD  5.40368932  3.751098419  6.72807739
#>                  Pre-test pooled SD  4.01296563  3.110871204  4.58468896
#>           Pre-test Group difference  1.42924061 -1.192567797  4.19999753
#>          Post-test Group difference  9.12807035  5.851510302 12.27758690
#>           Control Group Change mean -0.45561936 -1.023920353  0.13681690
#>             Control Group Change SD  1.21897409  0.778854389  1.47690522
#>             Control Group Cohen's d -0.11353682 -0.273173147  0.04182324
#>       Control Group Change to SESOI -0.28384205 -0.682932866  0.10455809
#>    Control Group Change SD to SESOI  0.75939729  0.503988237  1.04560122
#>                Control Group pLower  0.39004196  0.203215264  0.60306946
#>           Control Group pEquivalent  0.45021515  0.308693577  0.60752217
#>               Control Group pHigher  0.15974290  0.032023990  0.31217505
#>         Treatment Group Change mean  7.24321037  4.812594389  9.29185965
#>           Treatment Group Change SD  4.73312041  3.319830588  5.97975267
#>           Treatment Group Cohen's d  1.80495201  1.240621946  2.57302225
#>     Treatment Group Change to SESOI  4.51238001  3.101554865  6.43255564
#>  Treatment Group Change SD to SESOI  2.94864250  2.052853512  4.10793394
#>              Treatment Group pLower  0.05562494  0.009334664  0.13932903
#>         Treatment Group pEquivalent  0.04192299  0.012709630  0.07413350
#>             Treatment Group pHigher  0.90245207  0.799126871  0.97733335
#>                    Effect Cohen's d  6.31582723  4.170220414 10.53320324
#>                   Systematic effect  7.69882973  5.332467536  9.82192017
#>                       Random effect  4.57345941  3.127782107  5.85186532
#>          Systematic effect to SESOI  4.79622207  3.343847886  6.64262037
#>              SESOI to Random effect  0.35097857  0.248332215  0.51264007
#>                              pLower  0.04209719  0.005460745  0.11671585
#>                         pEquivalent  0.03481090  0.008148954  0.06702807
#>                             pHigher  0.92309191  0.821121165  0.98621774

plot(rct_model)