tests/testthat/_snaps/estimate_proportion.md

In tern: Create Common TLGs Used in Clinical Trials

prop_wilson returns right result

Code
  res
Output
  [1] 0.2692718 0.7307282

strata_normal_quantile works with general factor table

Code
  res
Output
  [1] 1.133272

update_weights_strat_wilson works with general inputs

Code
  res
Output
  $n_it
  [1] 3

  $weights
  [1] 0.2067191 0.1757727 0.1896962 0.1636346 0.1357615 0.1284160

  $diff_v
  [1] 1.458717e-01 1.497223e-03 1.442189e-06

update_weights_strat_wilson convergence test

Code
  res
Output
  [1] 2

prop_strat_wilson returns right results

Code
  res
Output
  $conf_int
      lower     upper 
  0.4072891 0.5647887

  $weights
        a.x       b.x       a.y       b.y       a.z       b.z 
  0.2074199 0.1776464 0.1915610 0.1604678 0.1351096 0.1277952

prop_strat_wilson returns right result with inserted weights

Code
  res
Output
  $conf_int
      lower     upper 
  0.4190436 0.5789733

prop_clopper_pearson returns right result

Code
  res
Output
  [1] 0.187086 0.812914

prop_wald returns right result

Code
  res
Output
  [1] 0.1401025 0.8598975

Code
  res
Output
  [1] 0.1901025 0.8098975

prop_agresti_coull returns right result

Code
  res
Output
  [1] 0.2365931 0.7634069

prop_jeffreys returns right result

Code
  res
Output
  [1] 0.2235287 0.7764713

prop_strat_wilson output matches equivalent SAS function output

Code
  res
Output
      lower     upper 
  0.4867191 0.7186381

s_proportion returns right result

Code
  res
Output
  $n_prop
  [1] 2.0 0.5
  attr(,"label")
  [1] "Responders"

  $prop_ci
  [1]   0 100
  attr(,"label")
  [1] "95% CI (Wald, with correction)"

s_proportion works with Jeffreys CI

Code
  res
Output
  $n_prop
  [1] 4.0000000 0.6666667
  attr(,"label")
  [1] "Responders"

  $prop_ci
  [1] 34.08020 89.57295
  attr(,"label")
  [1] "90% CI (Jeffreys)"

Code
  res
Output
  $n_prop
  [1] 4 1
  attr(,"label")
  [1] "Responders"

  $prop_ci
  [1]  55.52374 100.00000
  attr(,"label")
  [1] "95% CI (Jeffreys)"

s_proportion works with Agresti-Coull CI

Code
  res
Output
  $n_prop
  [1] 4.0000000 0.6666667
  attr(,"label")
  [1] "Responders"

  $prop_ci
  [1] 34.35850 88.61537
  attr(,"label")
  [1] "90% CI (Agresti-Coull)"

Code
  res
Output
  $n_prop
  [1] 4 1
  attr(,"label")
  [1] "Responders"

  $prop_ci
  [1]  45.40497 100.00000
  attr(,"label")
  [1] "95% CI (Agresti-Coull)"

estimate_proportion is compatible with rtables

Code
  res
Output
       [,1]                 [,2]                 [,3]                 
  [1,] "68.00 (98.55%)"     "68.00 (93.15%)"     "58.00 (100.00%)"    
  [2,] "(92.2369, 99.7437)" "(84.9479, 97.0391)" "(93.7882, 100.0000)"
       [,4]                
  [1,] "194.00 (97.00%)"   
  [2,] "(93.6106, 98.6180)"

estimate_proportion and strat_wilson is compatible with rtables

Code
  res
Output
       [,1]                 [,2]                 [,3]                
  [1,] "39.00 (56.52%)"     "38.00 (52.05%)"     "31.00 (53.45%)"    
  [2,] "(37.1236, 63.4557)" "(35.1170, 57.1709)" "(33.3127, 57.6543)"
       [,4]                
  [1,] "108.00 (54.00%)"   
  [2,] "(46.8585, 60.2254)"

estimate_proportion and strat_wilson with equal weights and specific number of interactions works with rtables

Code
  res
Output
       [,1]                 [,2]                 [,3]                
  [1,] "39.00 (56.52%)"     "38.00 (52.05%)"     "31.00 (53.45%)"    
  [2,] "(45.3208, 67.3762)" "(39.3366, 61.9179)" "(41.6771, 65.7415)"
       [,4]                
  [1,] "108.00 (54.00%)"   
  [2,] "(46.7669, 60.5951)"

tern documentation built on June 22, 2024, 10:25 a.m.