plot_status.md
In adaptr: Adaptive Trial Simulator

Status extraction works

Code
  extract_statuses(results, x_value = "look")
Output
      x      status          p
  1   1  Recruiting 0.84999999
  2   2  Recruiting 0.74999999
  3   3  Recruiting 0.59999999
  4   4  Recruiting 0.59999999
  5   5  Recruiting 0.44999999
  6   6  Recruiting 0.44999999
  7   7  Recruiting 0.29999999
  8   8  Recruiting 0.29999999
  9   9  Recruiting 0.19999999
  10 10  Recruiting 0.14999999
  11 11  Recruiting 0.09999999
  12 12  Recruiting 0.04999999
  13 13  Recruiting 0.04999999
  14 14  Recruiting 0.04999999
  15 15  Recruiting 0.04999999
  16 16  Recruiting 0.04999999
  17 17  Recruiting 0.00000000
  35  1    Futility 0.15000000
  36  2    Futility 0.25000000
  37  3    Futility 0.35000000
  38  4    Futility 0.35000000
  39  5    Futility 0.45000000
  40  6    Futility 0.45000000
  41  7    Futility 0.55000000
  42  8    Futility 0.55000000
  43  9    Futility 0.65000000
  44 10    Futility 0.65000000
  45 11    Futility 0.70000000
  46 12    Futility 0.75000000
  47 13    Futility 0.75000000
  48 14    Futility 0.75000000
  49 15    Futility 0.75000000
  50 16    Futility 0.75000000
  51 17    Futility 0.75000000
  52  1 Equivalence 0.00000000
  53  2 Equivalence 0.00000000
  54  3 Equivalence 0.00000000
  55  4 Equivalence 0.00000000
  56  5 Equivalence 0.00000000
  57  6 Equivalence 0.00000000
  58  7 Equivalence 0.00000000
  59  8 Equivalence 0.00000000
  60  9 Equivalence 0.00000000
  61 10 Equivalence 0.00000000
  62 11 Equivalence 0.00000000
  63 12 Equivalence 0.00000000
  64 13 Equivalence 0.00000000
  65 14 Equivalence 0.00000000
  66 15 Equivalence 0.00000000
  67 16 Equivalence 0.00000000
  68 17 Equivalence 0.00000000
  69  1 Superiority 0.00000000
  70  2 Superiority 0.00000000
  71  3 Superiority 0.05000000
  72  4 Superiority 0.05000000
  73  5 Superiority 0.10000000
  74  6 Superiority 0.10000000
  75  7 Superiority 0.15000000
  76  8 Superiority 0.15000000
  77  9 Superiority 0.15000000
  78 10 Superiority 0.20000000
  79 11 Superiority 0.20000000
  80 12 Superiority 0.20000000
  81 13 Superiority 0.20000000
  82 14 Superiority 0.20000000
  83 15 Superiority 0.20000000
  84 16 Superiority 0.20000000
  85 17 Superiority 0.25000000

Code
  extract_statuses(results, x_value = "n")
Output
      i   nf   nr          p      status
  1   1  300  300 0.84999999  Recruiting
  2   2  400  400 0.74999999  Recruiting
  3   3  500  500 0.59999999  Recruiting
  4   4  600  600 0.59999999  Recruiting
  5   5  700  700 0.44999999  Recruiting
  6   6  800  800 0.44999999  Recruiting
  7   7  900  900 0.29999999  Recruiting
  8   8 1000 1000 0.29999999  Recruiting
  9   9 1100 1100 0.19999999  Recruiting
  10 10 1200 1200 0.14999999  Recruiting
  11 11 1300 1300 0.09999999  Recruiting
  12 12 1400 1400 0.04999999  Recruiting
  13 13 1500 1500 0.04999999  Recruiting
  14 14 1600 1600 0.04999999  Recruiting
  15 15 1700 1700 0.04999999  Recruiting
  16 16 1800 1800 0.04999999  Recruiting
  17 17 1900 1900 0.00000000  Recruiting
  35  1  300  300 0.15000000    Futility
  36  2  400  400 0.25000000    Futility
  37  3  500  500 0.35000000    Futility
  38  4  600  600 0.35000000    Futility
  39  5  700  700 0.45000000    Futility
  40  6  800  800 0.45000000    Futility
  41  7  900  900 0.55000000    Futility
  42  8 1000 1000 0.55000000    Futility
  43  9 1100 1100 0.65000000    Futility
  44 10 1200 1200 0.65000000    Futility
  45 11 1300 1300 0.70000000    Futility
  46 12 1400 1400 0.75000000    Futility
  47 13 1500 1500 0.75000000    Futility
  48 14 1600 1600 0.75000000    Futility
  49 15 1700 1700 0.75000000    Futility
  50 16 1800 1800 0.75000000    Futility
  51 17 1900 1900 0.75000000    Futility
  52  1  300  300 0.00000000 Equivalence
  53  2  400  400 0.00000000 Equivalence
  54  3  500  500 0.00000000 Equivalence
  55  4  600  600 0.00000000 Equivalence
  56  5  700  700 0.00000000 Equivalence
  57  6  800  800 0.00000000 Equivalence
  58  7  900  900 0.00000000 Equivalence
  59  8 1000 1000 0.00000000 Equivalence
  60  9 1100 1100 0.00000000 Equivalence
  61 10 1200 1200 0.00000000 Equivalence
  62 11 1300 1300 0.00000000 Equivalence
  63 12 1400 1400 0.00000000 Equivalence
  64 13 1500 1500 0.00000000 Equivalence
  65 14 1600 1600 0.00000000 Equivalence
  66 15 1700 1700 0.00000000 Equivalence
  67 16 1800 1800 0.00000000 Equivalence
  68 17 1900 1900 0.00000000 Equivalence
  69  1  300  300 0.00000000 Superiority
  70  2  400  400 0.00000000 Superiority
  71  3  500  500 0.05000000 Superiority
  72  4  600  600 0.05000000 Superiority
  73  5  700  700 0.10000000 Superiority
  74  6  800  800 0.10000000 Superiority
  75  7  900  900 0.15000000 Superiority
  76  8 1000 1000 0.15000000 Superiority
  77  9 1100 1100 0.15000000 Superiority
  78 10 1200 1200 0.20000000 Superiority
  79 11 1300 1300 0.20000000 Superiority
  80 12 1400 1400 0.20000000 Superiority
  81 13 1500 1500 0.20000000 Superiority
  82 14 1600 1600 0.20000000 Superiority
  83 15 1700 1700 0.20000000 Superiority
  84 16 1800 1800 0.20000000 Superiority
  85 17 1900 1900 0.25000000 Superiority

Code
  extract_statuses(res, x_value = "look")
Output
     x      status    p
  1  1  Recruiting 1.00
  2  2  Recruiting 0.95
  3  3  Recruiting 0.95
  4  4  Recruiting 0.95
  5  5  Recruiting 0.95
  21 1 Superiority 0.00
  22 2 Superiority 0.05
  23 3 Superiority 0.05
  24 4 Superiority 0.05
  25 5 Superiority 0.05