tests/testthat/_snaps/gregTree.md

gregTree.estimates

Code
  out
Output
  $pop_total
  [1] 4118359

  $pop_mean
  [1] 664.8949

  $pop_total_var
  [1] 1125912522

  $pop_mean_var
  [1] 29.3469

  $weights
    [1] 33.08333 39.93750 39.93750 29.01515 25.35294 39.93750 29.01515 29.62500
    [9] 29.62500 29.01515 29.01515 29.01515 29.01515 25.35294 29.01515 29.01515
   [17] 25.35294 39.93750 29.01515 29.01515 29.62500 29.01515 29.62500 33.08333
   [25] 29.62500 39.93750 25.35294 29.01515 29.01515 33.08333 29.62500 25.35294
   [33] 29.01515 25.35294 25.35294 39.93750 29.62500 25.35294 39.93750 29.01515
   [41] 29.01515 29.01515 39.93750 39.93750 25.35294 29.01515 29.01515 29.62500
   [49] 33.08333 29.62500 25.35294 29.01515 29.62500 33.08333 39.93750 33.08333
   [57] 39.93750 25.35294 29.01515 29.01515 33.08333 29.62500 29.01515 33.08333
   [65] 29.62500 25.35294 29.01515 29.62500 29.01515 25.35294 39.93750 25.35294
   [73] 29.01515 33.08333 29.01515 25.35294 29.62500 39.93750 33.08333 25.35294
   [81] 39.93750 29.01515 29.01515 25.35294 25.35294 29.62500 25.35294 29.01515
   [89] 33.08333 29.01515 29.62500 29.01515 39.93750 29.01515 29.01515 25.35294
   [97] 29.01515 29.01515 25.35294 29.01515 33.08333 33.08333 29.01515 29.01515
  [105] 25.35294 29.01515 33.08333 25.35294 33.08333 29.62500 33.08333 29.62500
  [113] 29.62500 29.01515 33.08333 39.93750 29.01515 25.35294 33.08333 25.35294
  [121] 39.93750 39.93750 25.35294 29.01515 33.08333 33.08333 39.93750 29.01515
  [129] 33.08333 39.93750 25.35294 39.93750 33.08333 29.01515 29.01515 39.93750
  [137] 25.35294 33.08333 39.93750 25.35294 29.62500 33.08333 29.62500 33.08333
  [145] 25.35294 39.93750 25.35294 29.01515 29.01515 33.08333 29.01515 29.62500
  [153] 39.93750 29.01515 39.93750 39.93750 25.35294 29.01515 33.08333 29.62500
  [161] 33.08333 33.08333 29.62500 29.01515 39.93750 29.62500 39.93750 29.62500
  [169] 33.08333 29.01515 33.08333 39.93750 29.01515 33.08333 29.01515 29.62500
  [177] 29.01515 29.01515 29.01515 25.35294 29.01515 39.93750 29.01515 25.35294
  [185] 29.62500 29.62500 29.01515 33.08333 33.08333 29.62500 29.01515 29.62500
  [193] 33.08333 29.01515 39.93750 33.08333 29.62500 29.01515 29.01515 29.01515

  $tree

  RPMS Recursive Partitioning Equation 
  y ~ col.grad + awards + snum + dnum + cnum + pcttest + meals + 
      sch.wide

  Estimating Equation 
  y ~ 1


  [1] "unequal probability of selection, sample design"
  [1] "R-squared of model: 0.656991499373495"

  ===================== Tree Model ===================

     Splits                                           
  sp   meals <= 50.5                                  
  sp   meals <= 50.5 & col.grad <= 24.5               
  sp   meals <= 50.5 & col.grad > 24.5 & meals <= 19.5
  sp   meals > 50.5 & meals <= 85.5

      coefficients
  node        1
    4  671.9167
    10 835.9687
    11 740.4706
    6  593.2121
    7  501.5312


Swarthmore-Statistics/mase documentation built on March 5, 2024, 6:16 a.m.