tests/testthat/_snaps/prep_data.md

In clinicalsignificance: A Toolbox for Clinical Significance Analyses in Intervention Studies

data is prepared correctly

Code
  .prep_data(jacobson_factor, subject, time, pre = "pre", gds, method = "JT")
Output
  $original
  # A tibble: 60 x 4
     subject time    das   gds
       <dbl> <fct> <dbl> <dbl>
   1       1 pre    90.5  68  
   2       1 post   97    62.5
   3       2 pre    74    74.5
   4       2 post  124    56  
   5       3 pre    97    58.5
   6       3 post   97.5  58  
   7       4 pre    73.5  73.5
   8       4 post   88    71  
   9       5 pre    61    78.5
  10       5 post   96.5  60.5
  # i 50 more rows

  $wide
  # A tibble: 30 x 3
        id   pre  post
     <dbl> <dbl> <dbl>
   1     1  68    62.5
   2     2  74.5  56  
   3     3  58.5  58  
   4     4  73.5  71  
   5     5  78.5  60.5
   6     6  76    77  
   7     7  76.5  58.5
   8     8  63    52  
   9     9  70    65.5
  10    10  75    73  
  # i 20 more rows

  $data
  # A tibble: 26 x 4
        id   pre  post change
     <dbl> <dbl> <dbl>  <dbl>
   1     1  68    62.5   -5.5
   2     2  74.5  56    -18.5
   3     3  58.5  58     -0.5
   4     4  73.5  71     -2.5
   5     5  78.5  60.5  -18  
   6     6  76    77      1  
   7     7  76.5  58.5  -18  
   8     8  63    52    -11  
   9     9  70    65.5   -4.5
  10    10  75    73     -2  
  # i 16 more rows

clinicalsignificance documentation built on April 4, 2025, 12:19 a.m.