Nothing
tests/testthat/_snaps/extract.md
In adaptr: Adaptive Trial Simulator
Tidy results of simulations from binomial-outcome trial with common control works
Code
extract_results(res, select_strategy = "control if available")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 0.01870902 3.500275e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 -0.02971112 8.827508e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 -0.00666836 4.446702e-05
11 NA NA NA NA
12 0.0003741639 1.399986e-07 0.02338760 5.469797e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 -0.02900154 8.410892e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, select_strategy = "none")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 0.01870902 3.500275e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 -0.02971112 8.827508e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 -0.00666836 4.446702e-05
11 NA NA NA NA
12 0.0003741639 1.399986e-07 0.02338760 5.469797e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 -0.02900154 8.410892e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, select_strategy = "control")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 0.01870902 3.500275e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 -0.02971112 8.827508e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 -0.00666836 4.446702e-05
11 NA NA NA NA
12 0.0003741639 1.399986e-07 0.02338760 5.469797e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 -0.02900154 8.410892e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, select_strategy = "final control")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> C
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> C
4 4 900 235 0.2611111 futility <NA> C
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> C
7 7 300 71 0.2366667 futility <NA> C
8 8 1400 356 0.2542857 futility <NA> C
9 9 1100 277 0.2518182 futility <NA> A
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> A
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> C
14 14 300 69 0.2300000 futility <NA> C
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> C
17 17 500 119 0.2380000 futility <NA> C
18 18 700 199 0.2842857 futility <NA> C
19 19 1300 345 0.2653846 futility <NA> C
20 20 300 86 0.2866667 futility <NA> C
err sq_err err_te sq_err_te
1 -0.0320615980 1.027946e-03 0.018209246 3.315766e-04
2 0.0403056552 1.624546e-03 0.018709023 3.500275e-04
3 -0.0212254131 4.505182e-04 -0.002104886 4.430545e-06
4 -0.0070080201 4.911235e-05 -0.007796942 6.079230e-05
5 0.0112871320 1.273993e-04 -0.029711123 8.827508e-04
6 -0.0163034180 2.658014e-04 -0.004564815 2.083754e-05
7 0.0418074601 1.747864e-03 0.062301746 3.881508e-03
8 -0.0211408830 4.469369e-04 -0.028364667 8.045543e-04
9 0.0241545653 5.834430e-04 0.039945617 1.595652e-03
10 -0.0186526388 3.479209e-04 -0.006668360 4.446702e-05
11 0.0236137388 5.576087e-04 0.031337078 9.820124e-04
12 0.0003741639 1.399986e-07 0.023387597 5.469797e-04
13 0.0683181104 4.667364e-03 0.039680849 1.574570e-03
14 0.0654952119 4.289623e-03 0.131084491 1.718314e-02
15 -0.0365313171 1.334537e-03 -0.029001538 8.410892e-04
16 0.0552824892 3.056154e-03 0.041808151 1.747921e-03
17 0.0104174470 1.085232e-04 0.040491379 1.639552e-03
18 0.0317224271 1.006312e-03 -0.004951673 2.451906e-05
19 -0.0047998954 2.303900e-05 -0.018678309 3.488792e-04
20 0.0757048898 5.731230e-03 0.071794904 5.154508e-03
Code
extract_results(res, select_strategy = "control or best")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> C
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> C
4 4 900 235 0.2611111 futility <NA> C
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> C
7 7 300 71 0.2366667 futility <NA> C
8 8 1400 356 0.2542857 futility <NA> C
9 9 1100 277 0.2518182 futility <NA> A
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> A
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> C
14 14 300 69 0.2300000 futility <NA> C
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> C
17 17 500 119 0.2380000 futility <NA> C
18 18 700 199 0.2842857 futility <NA> C
19 19 1300 345 0.2653846 futility <NA> C
20 20 300 86 0.2866667 futility <NA> C
err sq_err err_te sq_err_te
1 -0.0320615980 1.027946e-03 0.018209246 3.315766e-04
2 0.0403056552 1.624546e-03 0.018709023 3.500275e-04
3 -0.0212254131 4.505182e-04 -0.002104886 4.430545e-06
4 -0.0070080201 4.911235e-05 -0.007796942 6.079230e-05
5 0.0112871320 1.273993e-04 -0.029711123 8.827508e-04
6 -0.0163034180 2.658014e-04 -0.004564815 2.083754e-05
7 0.0418074601 1.747864e-03 0.062301746 3.881508e-03
8 -0.0211408830 4.469369e-04 -0.028364667 8.045543e-04
9 0.0241545653 5.834430e-04 0.039945617 1.595652e-03
10 -0.0186526388 3.479209e-04 -0.006668360 4.446702e-05
11 0.0236137388 5.576087e-04 0.031337078 9.820124e-04
12 0.0003741639 1.399986e-07 0.023387597 5.469797e-04
13 0.0683181104 4.667364e-03 0.039680849 1.574570e-03
14 0.0654952119 4.289623e-03 0.131084491 1.718314e-02
15 -0.0365313171 1.334537e-03 -0.029001538 8.410892e-04
16 0.0552824892 3.056154e-03 0.041808151 1.747921e-03
17 0.0104174470 1.085232e-04 0.040491379 1.639552e-03
18 0.0317224271 1.006312e-03 -0.004951673 2.451906e-05
19 -0.0047998954 2.303900e-05 -0.018678309 3.488792e-04
20 0.0757048898 5.731230e-03 0.071794904 5.154508e-03
Code
extract_results(res, select_strategy = "best")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> C
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> C
4 4 900 235 0.2611111 futility <NA> C
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> C
7 7 300 71 0.2366667 futility <NA> C
8 8 1400 356 0.2542857 futility <NA> C
9 9 1100 277 0.2518182 futility <NA> A
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> A
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> C
14 14 300 69 0.2300000 futility <NA> C
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> C
17 17 500 119 0.2380000 futility <NA> C
18 18 700 199 0.2842857 futility <NA> C
19 19 1300 345 0.2653846 futility <NA> C
20 20 300 86 0.2866667 futility <NA> C
err sq_err err_te sq_err_te
1 -0.0320615980 1.027946e-03 0.018209246 3.315766e-04
2 0.0403056552 1.624546e-03 0.018709023 3.500275e-04
3 -0.0212254131 4.505182e-04 -0.002104886 4.430545e-06
4 -0.0070080201 4.911235e-05 -0.007796942 6.079230e-05
5 0.0112871320 1.273993e-04 -0.029711123 8.827508e-04
6 -0.0163034180 2.658014e-04 -0.004564815 2.083754e-05
7 0.0418074601 1.747864e-03 0.062301746 3.881508e-03
8 -0.0211408830 4.469369e-04 -0.028364667 8.045543e-04
9 0.0241545653 5.834430e-04 0.039945617 1.595652e-03
10 -0.0186526388 3.479209e-04 -0.006668360 4.446702e-05
11 0.0236137388 5.576087e-04 0.031337078 9.820124e-04
12 0.0003741639 1.399986e-07 0.023387597 5.469797e-04
13 0.0683181104 4.667364e-03 0.039680849 1.574570e-03
14 0.0654952119 4.289623e-03 0.131084491 1.718314e-02
15 -0.0365313171 1.334537e-03 -0.029001538 8.410892e-04
16 0.0552824892 3.056154e-03 0.041808151 1.747921e-03
17 0.0104174470 1.085232e-04 0.040491379 1.639552e-03
18 0.0317224271 1.006312e-03 -0.004951673 2.451906e-05
19 -0.0047998954 2.303900e-05 -0.018678309 3.488792e-04
20 0.0757048898 5.731230e-03 0.071794904 5.154508e-03
Code
extract_results(res, select_strategy = "list or best", select_preferences = "B")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> C
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> C
4 4 900 235 0.2611111 futility <NA> C
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> C
7 7 300 71 0.2366667 futility <NA> C
8 8 1400 356 0.2542857 futility <NA> C
9 9 1100 277 0.2518182 futility <NA> A
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> A
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> C
14 14 300 69 0.2300000 futility <NA> C
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> C
17 17 500 119 0.2380000 futility <NA> C
18 18 700 199 0.2842857 futility <NA> C
19 19 1300 345 0.2653846 futility <NA> C
20 20 300 86 0.2866667 futility <NA> C
err sq_err err_te sq_err_te
1 -0.0320615980 1.027946e-03 0.018209246 3.315766e-04
2 0.0403056552 1.624546e-03 0.018709023 3.500275e-04
3 -0.0212254131 4.505182e-04 -0.002104886 4.430545e-06
4 -0.0070080201 4.911235e-05 -0.007796942 6.079230e-05
5 0.0112871320 1.273993e-04 -0.029711123 8.827508e-04
6 -0.0163034180 2.658014e-04 -0.004564815 2.083754e-05
7 0.0418074601 1.747864e-03 0.062301746 3.881508e-03
8 -0.0211408830 4.469369e-04 -0.028364667 8.045543e-04
9 0.0241545653 5.834430e-04 0.039945617 1.595652e-03
10 -0.0186526388 3.479209e-04 -0.006668360 4.446702e-05
11 0.0236137388 5.576087e-04 0.031337078 9.820124e-04
12 0.0003741639 1.399986e-07 0.023387597 5.469797e-04
13 0.0683181104 4.667364e-03 0.039680849 1.574570e-03
14 0.0654952119 4.289623e-03 0.131084491 1.718314e-02
15 -0.0365313171 1.334537e-03 -0.029001538 8.410892e-04
16 0.0552824892 3.056154e-03 0.041808151 1.747921e-03
17 0.0104174470 1.085232e-04 0.040491379 1.639552e-03
18 0.0317224271 1.006312e-03 -0.004951673 2.451906e-05
19 -0.0047998954 2.303900e-05 -0.018678309 3.488792e-04
20 0.0757048898 5.731230e-03 0.071794904 5.154508e-03
Code
extract_results(res, select_strategy = "list", select_preferences = "B")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 0.01870902 3.500275e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 -0.02971112 8.827508e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 -0.00666836 4.446702e-05
11 NA NA NA NA
12 0.0003741639 1.399986e-07 0.02338760 5.469797e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 -0.02900154 8.410892e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, te_comp = "C")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 NA NA
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 NA NA
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 NA NA
11 NA NA NA NA
12 0.0003741639 1.399986e-07 NA NA
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, raw_ests = TRUE)
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.03962264 0.0015699537 0.021135247 4.466986e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.01097561 0.0001204640 -0.028750418 8.265865e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.01954023 0.0003818206 -0.004253606 1.809316e-05
11 NA NA NA NA
12 0.00000000 0.0000000000 0.025757576 6.634527e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.03706897 0.0013741082 -0.028291536 8.004110e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Tidy results of simulations from binomial-outcome trial without common control works
Code
extract_results(res, select_strategy = "control if available")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> <NA>
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> <NA>
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> <NA>
14 14 900 197 0.2188889 equivalence <NA> <NA>
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> <NA>
17 17 1000 215 0.2150000 equivalence <NA> <NA>
18 18 2000 472 0.2360000 max <NA> <NA>
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -0.037462579 1.403445e-03 NA NA
2 -0.008091122 6.546625e-05 NA NA
3 -0.009209925 8.482272e-05 NA NA
4 -0.025234966 6.368035e-04 NA NA
5 -0.003681956 1.355680e-05 NA NA
6 -0.032735518 1.071614e-03 NA NA
7 -0.001214794 1.475723e-06 NA NA
8 NA NA NA NA
9 -0.003254965 1.059480e-05 NA NA
10 NA NA NA NA
11 -0.011561899 1.336775e-04 NA NA
12 -0.035424899 1.254923e-03 NA NA
13 NA NA NA NA
14 NA NA NA NA
15 -0.017683969 3.127227e-04 NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 0.004641866 2.154692e-05 NA NA
20 0.006639065 4.407718e-05 NA NA
Code
extract_results(res, select_strategy = "none")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> <NA>
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> <NA>
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> <NA>
14 14 900 197 0.2188889 equivalence <NA> <NA>
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> <NA>
17 17 1000 215 0.2150000 equivalence <NA> <NA>
18 18 2000 472 0.2360000 max <NA> <NA>
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -0.037462579 1.403445e-03 NA NA
2 -0.008091122 6.546625e-05 NA NA
3 -0.009209925 8.482272e-05 NA NA
4 -0.025234966 6.368035e-04 NA NA
5 -0.003681956 1.355680e-05 NA NA
6 -0.032735518 1.071614e-03 NA NA
7 -0.001214794 1.475723e-06 NA NA
8 NA NA NA NA
9 -0.003254965 1.059480e-05 NA NA
10 NA NA NA NA
11 -0.011561899 1.336775e-04 NA NA
12 -0.035424899 1.254923e-03 NA NA
13 NA NA NA NA
14 NA NA NA NA
15 -0.017683969 3.127227e-04 NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 0.004641866 2.154692e-05 NA NA
20 0.006639065 4.407718e-05 NA NA
Code
extract_results(res, select_strategy = "best")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> B
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> B
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> B
14 14 900 197 0.2188889 equivalence <NA> B
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> B
17 17 1000 215 0.2150000 equivalence <NA> A
18 18 2000 472 0.2360000 max <NA> B
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -3.746258e-02 1.403445e-03 NA NA
2 -8.091122e-03 6.546625e-05 NA NA
3 -9.209925e-03 8.482272e-05 NA NA
4 -2.523497e-02 6.368035e-04 NA NA
5 -3.681956e-03 1.355680e-05 NA NA
6 -3.273552e-02 1.071614e-03 NA NA
7 -1.214794e-03 1.475723e-06 NA NA
8 4.290576e-05 1.840904e-09 NA NA
9 -3.254965e-03 1.059480e-05 NA NA
10 2.185308e-05 4.775573e-10 NA NA
11 -1.156190e-02 1.336775e-04 NA NA
12 -3.542490e-02 1.254923e-03 NA NA
13 1.557587e-02 2.426079e-04 NA NA
14 1.185545e-04 1.405516e-08 NA NA
15 -1.768397e-02 3.127227e-04 NA NA
16 1.393885e-02 1.942916e-04 NA NA
17 -4.658115e-02 2.169804e-03 NA NA
18 1.884488e-02 3.551297e-04 NA NA
19 4.641866e-03 2.154692e-05 NA NA
20 6.639065e-03 4.407718e-05 NA NA
Code
extract_results(res, select_strategy = "list or best", select_preferences = "B")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> B
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> B
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> B
14 14 900 197 0.2188889 equivalence <NA> B
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> B
17 17 1000 215 0.2150000 equivalence <NA> B
18 18 2000 472 0.2360000 max <NA> B
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -3.746258e-02 1.403445e-03 NA NA
2 -8.091122e-03 6.546625e-05 NA NA
3 -9.209925e-03 8.482272e-05 NA NA
4 -2.523497e-02 6.368035e-04 NA NA
5 -3.681956e-03 1.355680e-05 NA NA
6 -3.273552e-02 1.071614e-03 NA NA
7 -1.214794e-03 1.475723e-06 NA NA
8 4.290576e-05 1.840904e-09 NA NA
9 -3.254965e-03 1.059480e-05 NA NA
10 2.185308e-05 4.775573e-10 NA NA
11 -1.156190e-02 1.336775e-04 NA NA
12 -3.542490e-02 1.254923e-03 NA NA
13 1.557587e-02 2.426079e-04 NA NA
14 1.185545e-04 1.405516e-08 NA NA
15 -1.768397e-02 3.127227e-04 NA NA
16 1.393885e-02 1.942916e-04 NA NA
17 1.076086e-02 1.157961e-04 NA NA
18 1.884488e-02 3.551297e-04 NA NA
19 4.641866e-03 2.154692e-05 NA NA
20 6.639065e-03 4.407718e-05 NA NA
Code
extract_results(res, select_strategy = "list", select_preferences = "B")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> B
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> B
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> B
14 14 900 197 0.2188889 equivalence <NA> B
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> B
17 17 1000 215 0.2150000 equivalence <NA> B
18 18 2000 472 0.2360000 max <NA> B
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -3.746258e-02 1.403445e-03 NA NA
2 -8.091122e-03 6.546625e-05 NA NA
3 -9.209925e-03 8.482272e-05 NA NA
4 -2.523497e-02 6.368035e-04 NA NA
5 -3.681956e-03 1.355680e-05 NA NA
6 -3.273552e-02 1.071614e-03 NA NA
7 -1.214794e-03 1.475723e-06 NA NA
8 4.290576e-05 1.840904e-09 NA NA
9 -3.254965e-03 1.059480e-05 NA NA
10 2.185308e-05 4.775573e-10 NA NA
11 -1.156190e-02 1.336775e-04 NA NA
12 -3.542490e-02 1.254923e-03 NA NA
13 1.557587e-02 2.426079e-04 NA NA
14 1.185545e-04 1.405516e-08 NA NA
15 -1.768397e-02 3.127227e-04 NA NA
16 1.393885e-02 1.942916e-04 NA NA
17 1.076086e-02 1.157961e-04 NA NA
18 1.884488e-02 3.551297e-04 NA NA
19 4.641866e-03 2.154692e-05 NA NA
20 6.639065e-03 4.407718e-05 NA NA
Code
extract_results(res, te_comp = "C")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> <NA>
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> <NA>
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> <NA>
14 14 900 197 0.2188889 equivalence <NA> <NA>
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> <NA>
17 17 1000 215 0.2150000 equivalence <NA> <NA>
18 18 2000 472 0.2360000 max <NA> <NA>
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -0.037462579 1.403445e-03 -0.0309834173 9.599721e-04
2 -0.008091122 6.546625e-05 -0.0694765496 4.826991e-03
3 -0.009209925 8.482272e-05 0.0279946570 7.837008e-04
4 -0.025234966 6.368035e-04 0.0001180144 1.392739e-08
5 -0.003681956 1.355680e-05 -0.0286462280 8.206064e-04
6 -0.032735518 1.071614e-03 0.0075002766 5.625415e-05
7 -0.001214794 1.475723e-06 -0.0425043761 1.806622e-03
8 NA NA NA NA
9 -0.003254965 1.059480e-05 0.0246872011 6.094579e-04
10 NA NA NA NA
11 -0.011561899 1.336775e-04 0.0324811838 1.055027e-03
12 -0.035424899 1.254923e-03 -0.0240593040 5.788501e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.017683969 3.127227e-04 0.0211553332 4.475481e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 0.004641866 2.154692e-05 0.0242464916 5.878924e-04
20 0.006639065 4.407718e-05 -0.0697711964 4.868020e-03
Code
extract_results(res, raw_ests = TRUE)
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> <NA>
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> <NA>
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> <NA>
14 14 900 197 0.2188889 equivalence <NA> <NA>
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> <NA>
17 17 1000 215 0.2150000 equivalence <NA> <NA>
18 18 2000 472 0.2360000 max <NA> <NA>
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -0.039215686 1.537870e-03 NA NA
2 -0.009090909 8.264463e-05 NA NA
3 -0.009457580 8.944582e-05 NA NA
4 -0.026347305 6.941805e-04 NA NA
5 -0.004137931 1.712247e-05 NA NA
6 -0.034437086 1.185913e-03 NA NA
7 -0.001218583 1.484945e-06 NA NA
8 NA NA NA NA
9 -0.003703704 1.371742e-05 NA NA
10 NA NA NA NA
11 -0.011819596 1.397028e-04 NA NA
12 -0.038150289 1.455445e-03 NA NA
13 NA NA NA NA
14 NA NA NA NA
15 -0.018313953 3.354009e-04 NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 0.004395604 1.932134e-05 NA NA
20 0.004633205 2.146659e-05 NA NA
Selection works with practical equivalence and outcome-data lag works
Code
extract_results(res, select_strategy = "best")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 1500 351 0.2340000 equivalence <NA> A
2 2 1500 339 0.2260000 equivalence <NA> B
3 3 2100 481 0.2290476 max <NA> B
4 4 1500 349 0.2326667 superiority B B
5 5 1900 462 0.2431579 equivalence <NA> B
6 6 2100 487 0.2319048 max <NA> B
7 7 1500 344 0.2293333 equivalence <NA> B
8 8 1700 430 0.2529412 equivalence <NA> B
9 9 2100 526 0.2504762 max <NA> B
10 10 200 40 0.2000000 superiority B B
11 11 1600 377 0.2356250 equivalence <NA> A
12 12 1600 369 0.2306250 equivalence <NA> B
13 13 1800 476 0.2644444 equivalence <NA> B
14 14 2100 508 0.2419048 equivalence <NA> B
15 15 200 51 0.2550000 superiority B B
16 16 2100 480 0.2285714 max <NA> B
17 17 2100 482 0.2295238 max <NA> B
18 18 1500 339 0.2260000 equivalence <NA> B
19 19 1500 352 0.2346667 equivalence <NA> A
20 20 1900 440 0.2315789 equivalence <NA> A
err sq_err err_te sq_err_te
1 -0.020294048 4.118484e-04 NA NA
2 -0.007014838 4.920796e-05 NA NA
3 -0.014463951 2.092059e-04 NA NA
4 -0.024881085 6.190684e-04 NA NA
5 0.007033408 4.946882e-05 NA NA
6 -0.017663275 3.119913e-04 NA NA
7 -0.003116444 9.712220e-06 NA NA
8 0.017648868 3.114825e-04 NA NA
9 0.015377199 2.364583e-04 NA NA
10 -0.099895742 9.979159e-03 NA NA
11 -0.016594114 2.753646e-04 NA NA
12 -0.001521558 2.315138e-06 NA NA
13 0.031967991 1.021952e-03 NA NA
14 0.007552201 5.703574e-05 NA NA
15 -0.047414042 2.248091e-03 NA NA
16 -0.014629099 2.140105e-04 NA NA
17 -0.006069625 3.684034e-05 NA NA
18 -0.006869535 4.719051e-05 NA NA
19 -0.014451375 2.088422e-04 NA NA
20 -0.020764240 4.311537e-04 NA NA
Metric history of specific trial works
Code
extract_history(res)
Output
look look_ns look_ns_all arm old_alloc ns ns_all sum_ys sum_ys_all
A 1 300 300 A 0.3333333 122 122 30 30
B 1 300 300 B 0.3333333 91 91 21 21
C 1 300 300 C 0.3333333 87 87 20 20
A1 2 400 400 A 0.3762498 158 158 34 34
B1 2 400 400 B 0.3113363 124 124 28 28
C1 2 400 400 C 0.3124139 118 118 30 30
A2 3 500 500 A 0.2283302 184 184 38 38
B2 3 500 500 B 0.3000846 158 158 33 33
C2 3 500 500 C 0.4715852 158 158 40 40
A3 4 600 600 A 0.2171704 210 210 40 40
B3 4 600 600 B 0.2395724 180 180 34 34
C3 4 600 600 C 0.5432572 210 210 56 56
A4 5 700 700 A 0.1500000 225 225 43 43
B4 5 700 700 B 0.1500000 194 194 37 37
C4 5 700 700 C 0.7000000 281 281 75 75
A5 6 800 800 A 0.1500000 234 234 43 43
B5 6 800 800 B 0.1500000 210 210 39 39
C5 6 800 800 C 0.7000000 356 356 97 97
A6 7 900 900 A 0.1500000 244 244 48 48
B6 7 900 900 B 0.1500000 223 223 41 41
C6 7 900 900 C 0.7000000 433 433 126 126
value
A 0.3333333
B 0.3333333
C 0.3333333
A1 0.3762498
B1 0.3113363
C1 0.3124139
A2 0.2283302
B2 0.3000846
C2 0.4715852
A3 0.2171704
B3 0.2395724
C3 0.5432572
A4 0.1500000
B4 0.1500000
C4 0.7000000
A5 0.1500000
B5 0.1500000
C5 0.7000000
A6 0.1500000
B6 0.1500000
C6 0.7000000
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Tidy results of simulations from binomial-outcome trial with common control works
Code
extract_results(res, select_strategy = "control if available")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 0.01870902 3.500275e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 -0.02971112 8.827508e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 -0.00666836 4.446702e-05
11 NA NA NA NA
12 0.0003741639 1.399986e-07 0.02338760 5.469797e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 -0.02900154 8.410892e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, select_strategy = "none")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 0.01870902 3.500275e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 -0.02971112 8.827508e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 -0.00666836 4.446702e-05
11 NA NA NA NA
12 0.0003741639 1.399986e-07 0.02338760 5.469797e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 -0.02900154 8.410892e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, select_strategy = "control")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 0.01870902 3.500275e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 -0.02971112 8.827508e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 -0.00666836 4.446702e-05
11 NA NA NA NA
12 0.0003741639 1.399986e-07 0.02338760 5.469797e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 -0.02900154 8.410892e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, select_strategy = "final control")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> C
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> C
4 4 900 235 0.2611111 futility <NA> C
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> C
7 7 300 71 0.2366667 futility <NA> C
8 8 1400 356 0.2542857 futility <NA> C
9 9 1100 277 0.2518182 futility <NA> A
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> A
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> C
14 14 300 69 0.2300000 futility <NA> C
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> C
17 17 500 119 0.2380000 futility <NA> C
18 18 700 199 0.2842857 futility <NA> C
19 19 1300 345 0.2653846 futility <NA> C
20 20 300 86 0.2866667 futility <NA> C
err sq_err err_te sq_err_te
1 -0.0320615980 1.027946e-03 0.018209246 3.315766e-04
2 0.0403056552 1.624546e-03 0.018709023 3.500275e-04
3 -0.0212254131 4.505182e-04 -0.002104886 4.430545e-06
4 -0.0070080201 4.911235e-05 -0.007796942 6.079230e-05
5 0.0112871320 1.273993e-04 -0.029711123 8.827508e-04
6 -0.0163034180 2.658014e-04 -0.004564815 2.083754e-05
7 0.0418074601 1.747864e-03 0.062301746 3.881508e-03
8 -0.0211408830 4.469369e-04 -0.028364667 8.045543e-04
9 0.0241545653 5.834430e-04 0.039945617 1.595652e-03
10 -0.0186526388 3.479209e-04 -0.006668360 4.446702e-05
11 0.0236137388 5.576087e-04 0.031337078 9.820124e-04
12 0.0003741639 1.399986e-07 0.023387597 5.469797e-04
13 0.0683181104 4.667364e-03 0.039680849 1.574570e-03
14 0.0654952119 4.289623e-03 0.131084491 1.718314e-02
15 -0.0365313171 1.334537e-03 -0.029001538 8.410892e-04
16 0.0552824892 3.056154e-03 0.041808151 1.747921e-03
17 0.0104174470 1.085232e-04 0.040491379 1.639552e-03
18 0.0317224271 1.006312e-03 -0.004951673 2.451906e-05
19 -0.0047998954 2.303900e-05 -0.018678309 3.488792e-04
20 0.0757048898 5.731230e-03 0.071794904 5.154508e-03
Code
extract_results(res, select_strategy = "control or best")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> C
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> C
4 4 900 235 0.2611111 futility <NA> C
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> C
7 7 300 71 0.2366667 futility <NA> C
8 8 1400 356 0.2542857 futility <NA> C
9 9 1100 277 0.2518182 futility <NA> A
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> A
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> C
14 14 300 69 0.2300000 futility <NA> C
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> C
17 17 500 119 0.2380000 futility <NA> C
18 18 700 199 0.2842857 futility <NA> C
19 19 1300 345 0.2653846 futility <NA> C
20 20 300 86 0.2866667 futility <NA> C
err sq_err err_te sq_err_te
1 -0.0320615980 1.027946e-03 0.018209246 3.315766e-04
2 0.0403056552 1.624546e-03 0.018709023 3.500275e-04
3 -0.0212254131 4.505182e-04 -0.002104886 4.430545e-06
4 -0.0070080201 4.911235e-05 -0.007796942 6.079230e-05
5 0.0112871320 1.273993e-04 -0.029711123 8.827508e-04
6 -0.0163034180 2.658014e-04 -0.004564815 2.083754e-05
7 0.0418074601 1.747864e-03 0.062301746 3.881508e-03
8 -0.0211408830 4.469369e-04 -0.028364667 8.045543e-04
9 0.0241545653 5.834430e-04 0.039945617 1.595652e-03
10 -0.0186526388 3.479209e-04 -0.006668360 4.446702e-05
11 0.0236137388 5.576087e-04 0.031337078 9.820124e-04
12 0.0003741639 1.399986e-07 0.023387597 5.469797e-04
13 0.0683181104 4.667364e-03 0.039680849 1.574570e-03
14 0.0654952119 4.289623e-03 0.131084491 1.718314e-02
15 -0.0365313171 1.334537e-03 -0.029001538 8.410892e-04
16 0.0552824892 3.056154e-03 0.041808151 1.747921e-03
17 0.0104174470 1.085232e-04 0.040491379 1.639552e-03
18 0.0317224271 1.006312e-03 -0.004951673 2.451906e-05
19 -0.0047998954 2.303900e-05 -0.018678309 3.488792e-04
20 0.0757048898 5.731230e-03 0.071794904 5.154508e-03
Code
extract_results(res, select_strategy = "best")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> C
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> C
4 4 900 235 0.2611111 futility <NA> C
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> C
7 7 300 71 0.2366667 futility <NA> C
8 8 1400 356 0.2542857 futility <NA> C
9 9 1100 277 0.2518182 futility <NA> A
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> A
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> C
14 14 300 69 0.2300000 futility <NA> C
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> C
17 17 500 119 0.2380000 futility <NA> C
18 18 700 199 0.2842857 futility <NA> C
19 19 1300 345 0.2653846 futility <NA> C
20 20 300 86 0.2866667 futility <NA> C
err sq_err err_te sq_err_te
1 -0.0320615980 1.027946e-03 0.018209246 3.315766e-04
2 0.0403056552 1.624546e-03 0.018709023 3.500275e-04
3 -0.0212254131 4.505182e-04 -0.002104886 4.430545e-06
4 -0.0070080201 4.911235e-05 -0.007796942 6.079230e-05
5 0.0112871320 1.273993e-04 -0.029711123 8.827508e-04
6 -0.0163034180 2.658014e-04 -0.004564815 2.083754e-05
7 0.0418074601 1.747864e-03 0.062301746 3.881508e-03
8 -0.0211408830 4.469369e-04 -0.028364667 8.045543e-04
9 0.0241545653 5.834430e-04 0.039945617 1.595652e-03
10 -0.0186526388 3.479209e-04 -0.006668360 4.446702e-05
11 0.0236137388 5.576087e-04 0.031337078 9.820124e-04
12 0.0003741639 1.399986e-07 0.023387597 5.469797e-04
13 0.0683181104 4.667364e-03 0.039680849 1.574570e-03
14 0.0654952119 4.289623e-03 0.131084491 1.718314e-02
15 -0.0365313171 1.334537e-03 -0.029001538 8.410892e-04
16 0.0552824892 3.056154e-03 0.041808151 1.747921e-03
17 0.0104174470 1.085232e-04 0.040491379 1.639552e-03
18 0.0317224271 1.006312e-03 -0.004951673 2.451906e-05
19 -0.0047998954 2.303900e-05 -0.018678309 3.488792e-04
20 0.0757048898 5.731230e-03 0.071794904 5.154508e-03
Code
extract_results(res, select_strategy = "list or best", select_preferences = "B")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> C
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> C
4 4 900 235 0.2611111 futility <NA> C
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> C
7 7 300 71 0.2366667 futility <NA> C
8 8 1400 356 0.2542857 futility <NA> C
9 9 1100 277 0.2518182 futility <NA> A
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> A
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> C
14 14 300 69 0.2300000 futility <NA> C
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> C
17 17 500 119 0.2380000 futility <NA> C
18 18 700 199 0.2842857 futility <NA> C
19 19 1300 345 0.2653846 futility <NA> C
20 20 300 86 0.2866667 futility <NA> C
err sq_err err_te sq_err_te
1 -0.0320615980 1.027946e-03 0.018209246 3.315766e-04
2 0.0403056552 1.624546e-03 0.018709023 3.500275e-04
3 -0.0212254131 4.505182e-04 -0.002104886 4.430545e-06
4 -0.0070080201 4.911235e-05 -0.007796942 6.079230e-05
5 0.0112871320 1.273993e-04 -0.029711123 8.827508e-04
6 -0.0163034180 2.658014e-04 -0.004564815 2.083754e-05
7 0.0418074601 1.747864e-03 0.062301746 3.881508e-03
8 -0.0211408830 4.469369e-04 -0.028364667 8.045543e-04
9 0.0241545653 5.834430e-04 0.039945617 1.595652e-03
10 -0.0186526388 3.479209e-04 -0.006668360 4.446702e-05
11 0.0236137388 5.576087e-04 0.031337078 9.820124e-04
12 0.0003741639 1.399986e-07 0.023387597 5.469797e-04
13 0.0683181104 4.667364e-03 0.039680849 1.574570e-03
14 0.0654952119 4.289623e-03 0.131084491 1.718314e-02
15 -0.0365313171 1.334537e-03 -0.029001538 8.410892e-04
16 0.0552824892 3.056154e-03 0.041808151 1.747921e-03
17 0.0104174470 1.085232e-04 0.040491379 1.639552e-03
18 0.0317224271 1.006312e-03 -0.004951673 2.451906e-05
19 -0.0047998954 2.303900e-05 -0.018678309 3.488792e-04
20 0.0757048898 5.731230e-03 0.071794904 5.154508e-03
Code
extract_results(res, select_strategy = "list", select_preferences = "B")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 0.01870902 3.500275e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 -0.02971112 8.827508e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 -0.00666836 4.446702e-05
11 NA NA NA NA
12 0.0003741639 1.399986e-07 0.02338760 5.469797e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 -0.02900154 8.410892e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, te_comp = "C")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.0403056552 1.624546e-03 NA NA
3 NA NA NA NA
4 NA NA NA NA
5 0.0112871320 1.273993e-04 NA NA
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.0186526388 3.479209e-04 NA NA
11 NA NA NA NA
12 0.0003741639 1.399986e-07 NA NA
13 NA NA NA NA
14 NA NA NA NA
15 -0.0365313171 1.334537e-03 NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Code
extract_results(res, raw_ests = TRUE)
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 114 0.2280000 futility <NA> <NA>
2 2 500 136 0.2720000 superiority C C
3 3 700 168 0.2400000 futility <NA> <NA>
4 4 900 235 0.2611111 futility <NA> <NA>
5 5 1200 341 0.2841667 superiority C C
6 6 900 225 0.2500000 futility <NA> <NA>
7 7 300 71 0.2366667 futility <NA> <NA>
8 8 1400 356 0.2542857 futility <NA> <NA>
9 9 1100 277 0.2518182 futility <NA> <NA>
10 10 700 165 0.2357143 superiority C C
11 11 1100 270 0.2454545 futility <NA> <NA>
12 12 1900 523 0.2752632 superiority C C
13 13 400 113 0.2825000 futility <NA> <NA>
14 14 300 69 0.2300000 futility <NA> <NA>
15 15 900 206 0.2288889 superiority C C
16 16 400 118 0.2950000 futility <NA> <NA>
17 17 500 119 0.2380000 futility <NA> <NA>
18 18 700 199 0.2842857 futility <NA> <NA>
19 19 1300 345 0.2653846 futility <NA> <NA>
20 20 300 86 0.2866667 futility <NA> <NA>
err sq_err err_te sq_err_te
1 NA NA NA NA
2 0.03962264 0.0015699537 0.021135247 4.466986e-04
3 NA NA NA NA
4 NA NA NA NA
5 0.01097561 0.0001204640 -0.028750418 8.265865e-04
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 -0.01954023 0.0003818206 -0.004253606 1.809316e-05
11 NA NA NA NA
12 0.00000000 0.0000000000 0.025757576 6.634527e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.03706897 0.0013741082 -0.028291536 8.004110e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
Tidy results of simulations from binomial-outcome trial without common control works
Code
extract_results(res, select_strategy = "control if available")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> <NA>
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> <NA>
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> <NA>
14 14 900 197 0.2188889 equivalence <NA> <NA>
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> <NA>
17 17 1000 215 0.2150000 equivalence <NA> <NA>
18 18 2000 472 0.2360000 max <NA> <NA>
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -0.037462579 1.403445e-03 NA NA
2 -0.008091122 6.546625e-05 NA NA
3 -0.009209925 8.482272e-05 NA NA
4 -0.025234966 6.368035e-04 NA NA
5 -0.003681956 1.355680e-05 NA NA
6 -0.032735518 1.071614e-03 NA NA
7 -0.001214794 1.475723e-06 NA NA
8 NA NA NA NA
9 -0.003254965 1.059480e-05 NA NA
10 NA NA NA NA
11 -0.011561899 1.336775e-04 NA NA
12 -0.035424899 1.254923e-03 NA NA
13 NA NA NA NA
14 NA NA NA NA
15 -0.017683969 3.127227e-04 NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 0.004641866 2.154692e-05 NA NA
20 0.006639065 4.407718e-05 NA NA
Code
extract_results(res, select_strategy = "none")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> <NA>
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> <NA>
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> <NA>
14 14 900 197 0.2188889 equivalence <NA> <NA>
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> <NA>
17 17 1000 215 0.2150000 equivalence <NA> <NA>
18 18 2000 472 0.2360000 max <NA> <NA>
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -0.037462579 1.403445e-03 NA NA
2 -0.008091122 6.546625e-05 NA NA
3 -0.009209925 8.482272e-05 NA NA
4 -0.025234966 6.368035e-04 NA NA
5 -0.003681956 1.355680e-05 NA NA
6 -0.032735518 1.071614e-03 NA NA
7 -0.001214794 1.475723e-06 NA NA
8 NA NA NA NA
9 -0.003254965 1.059480e-05 NA NA
10 NA NA NA NA
11 -0.011561899 1.336775e-04 NA NA
12 -0.035424899 1.254923e-03 NA NA
13 NA NA NA NA
14 NA NA NA NA
15 -0.017683969 3.127227e-04 NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 0.004641866 2.154692e-05 NA NA
20 0.006639065 4.407718e-05 NA NA
Code
extract_results(res, select_strategy = "best")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> B
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> B
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> B
14 14 900 197 0.2188889 equivalence <NA> B
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> B
17 17 1000 215 0.2150000 equivalence <NA> A
18 18 2000 472 0.2360000 max <NA> B
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -3.746258e-02 1.403445e-03 NA NA
2 -8.091122e-03 6.546625e-05 NA NA
3 -9.209925e-03 8.482272e-05 NA NA
4 -2.523497e-02 6.368035e-04 NA NA
5 -3.681956e-03 1.355680e-05 NA NA
6 -3.273552e-02 1.071614e-03 NA NA
7 -1.214794e-03 1.475723e-06 NA NA
8 4.290576e-05 1.840904e-09 NA NA
9 -3.254965e-03 1.059480e-05 NA NA
10 2.185308e-05 4.775573e-10 NA NA
11 -1.156190e-02 1.336775e-04 NA NA
12 -3.542490e-02 1.254923e-03 NA NA
13 1.557587e-02 2.426079e-04 NA NA
14 1.185545e-04 1.405516e-08 NA NA
15 -1.768397e-02 3.127227e-04 NA NA
16 1.393885e-02 1.942916e-04 NA NA
17 -4.658115e-02 2.169804e-03 NA NA
18 1.884488e-02 3.551297e-04 NA NA
19 4.641866e-03 2.154692e-05 NA NA
20 6.639065e-03 4.407718e-05 NA NA
Code
extract_results(res, select_strategy = "list or best", select_preferences = "B")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> B
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> B
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> B
14 14 900 197 0.2188889 equivalence <NA> B
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> B
17 17 1000 215 0.2150000 equivalence <NA> B
18 18 2000 472 0.2360000 max <NA> B
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -3.746258e-02 1.403445e-03 NA NA
2 -8.091122e-03 6.546625e-05 NA NA
3 -9.209925e-03 8.482272e-05 NA NA
4 -2.523497e-02 6.368035e-04 NA NA
5 -3.681956e-03 1.355680e-05 NA NA
6 -3.273552e-02 1.071614e-03 NA NA
7 -1.214794e-03 1.475723e-06 NA NA
8 4.290576e-05 1.840904e-09 NA NA
9 -3.254965e-03 1.059480e-05 NA NA
10 2.185308e-05 4.775573e-10 NA NA
11 -1.156190e-02 1.336775e-04 NA NA
12 -3.542490e-02 1.254923e-03 NA NA
13 1.557587e-02 2.426079e-04 NA NA
14 1.185545e-04 1.405516e-08 NA NA
15 -1.768397e-02 3.127227e-04 NA NA
16 1.393885e-02 1.942916e-04 NA NA
17 1.076086e-02 1.157961e-04 NA NA
18 1.884488e-02 3.551297e-04 NA NA
19 4.641866e-03 2.154692e-05 NA NA
20 6.639065e-03 4.407718e-05 NA NA
Code
extract_results(res, select_strategy = "list", select_preferences = "B")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> B
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> B
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> B
14 14 900 197 0.2188889 equivalence <NA> B
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> B
17 17 1000 215 0.2150000 equivalence <NA> B
18 18 2000 472 0.2360000 max <NA> B
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -3.746258e-02 1.403445e-03 NA NA
2 -8.091122e-03 6.546625e-05 NA NA
3 -9.209925e-03 8.482272e-05 NA NA
4 -2.523497e-02 6.368035e-04 NA NA
5 -3.681956e-03 1.355680e-05 NA NA
6 -3.273552e-02 1.071614e-03 NA NA
7 -1.214794e-03 1.475723e-06 NA NA
8 4.290576e-05 1.840904e-09 NA NA
9 -3.254965e-03 1.059480e-05 NA NA
10 2.185308e-05 4.775573e-10 NA NA
11 -1.156190e-02 1.336775e-04 NA NA
12 -3.542490e-02 1.254923e-03 NA NA
13 1.557587e-02 2.426079e-04 NA NA
14 1.185545e-04 1.405516e-08 NA NA
15 -1.768397e-02 3.127227e-04 NA NA
16 1.393885e-02 1.942916e-04 NA NA
17 1.076086e-02 1.157961e-04 NA NA
18 1.884488e-02 3.551297e-04 NA NA
19 4.641866e-03 2.154692e-05 NA NA
20 6.639065e-03 4.407718e-05 NA NA
Code
extract_results(res, te_comp = "C")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> <NA>
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> <NA>
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> <NA>
14 14 900 197 0.2188889 equivalence <NA> <NA>
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> <NA>
17 17 1000 215 0.2150000 equivalence <NA> <NA>
18 18 2000 472 0.2360000 max <NA> <NA>
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -0.037462579 1.403445e-03 -0.0309834173 9.599721e-04
2 -0.008091122 6.546625e-05 -0.0694765496 4.826991e-03
3 -0.009209925 8.482272e-05 0.0279946570 7.837008e-04
4 -0.025234966 6.368035e-04 0.0001180144 1.392739e-08
5 -0.003681956 1.355680e-05 -0.0286462280 8.206064e-04
6 -0.032735518 1.071614e-03 0.0075002766 5.625415e-05
7 -0.001214794 1.475723e-06 -0.0425043761 1.806622e-03
8 NA NA NA NA
9 -0.003254965 1.059480e-05 0.0246872011 6.094579e-04
10 NA NA NA NA
11 -0.011561899 1.336775e-04 0.0324811838 1.055027e-03
12 -0.035424899 1.254923e-03 -0.0240593040 5.788501e-04
13 NA NA NA NA
14 NA NA NA NA
15 -0.017683969 3.127227e-04 0.0211553332 4.475481e-04
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 0.004641866 2.154692e-05 0.0242464916 5.878924e-04
20 0.006639065 4.407718e-05 -0.0697711964 4.868020e-03
Code
extract_results(res, raw_ests = TRUE)
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 500 110 0.2200000 superiority B B
2 2 1200 273 0.2275000 superiority B B
3 3 1200 266 0.2216667 superiority B B
4 4 700 156 0.2228571 superiority B B
5 5 1300 295 0.2269231 superiority B B
6 6 600 131 0.2183333 superiority B B
7 7 1900 420 0.2210526 superiority B B
8 8 2000 433 0.2165000 max <NA> <NA>
9 9 1600 353 0.2206250 superiority B B
10 10 1000 220 0.2200000 equivalence <NA> <NA>
11 11 1200 264 0.2200000 superiority B B
12 12 400 94 0.2350000 superiority B B
13 13 2000 469 0.2345000 max <NA> <NA>
14 14 900 197 0.2188889 equivalence <NA> <NA>
15 15 1400 303 0.2164286 superiority B B
16 16 2000 462 0.2310000 max <NA> <NA>
17 17 1000 215 0.2150000 equivalence <NA> <NA>
18 18 2000 472 0.2360000 max <NA> <NA>
19 19 1600 372 0.2325000 superiority B B
20 20 500 135 0.2700000 superiority B B
err sq_err err_te sq_err_te
1 -0.039215686 1.537870e-03 NA NA
2 -0.009090909 8.264463e-05 NA NA
3 -0.009457580 8.944582e-05 NA NA
4 -0.026347305 6.941805e-04 NA NA
5 -0.004137931 1.712247e-05 NA NA
6 -0.034437086 1.185913e-03 NA NA
7 -0.001218583 1.484945e-06 NA NA
8 NA NA NA NA
9 -0.003703704 1.371742e-05 NA NA
10 NA NA NA NA
11 -0.011819596 1.397028e-04 NA NA
12 -0.038150289 1.455445e-03 NA NA
13 NA NA NA NA
14 NA NA NA NA
15 -0.018313953 3.354009e-04 NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 0.004395604 1.932134e-05 NA NA
20 0.004633205 2.146659e-05 NA NA
Selection works with practical equivalence and outcome-data lag works
Code
extract_results(res, select_strategy = "best")
Output
sim final_n sum_ys ratio_ys final_status superior_arm selected_arm
1 1 1500 351 0.2340000 equivalence <NA> A
2 2 1500 339 0.2260000 equivalence <NA> B
3 3 2100 481 0.2290476 max <NA> B
4 4 1500 349 0.2326667 superiority B B
5 5 1900 462 0.2431579 equivalence <NA> B
6 6 2100 487 0.2319048 max <NA> B
7 7 1500 344 0.2293333 equivalence <NA> B
8 8 1700 430 0.2529412 equivalence <NA> B
9 9 2100 526 0.2504762 max <NA> B
10 10 200 40 0.2000000 superiority B B
11 11 1600 377 0.2356250 equivalence <NA> A
12 12 1600 369 0.2306250 equivalence <NA> B
13 13 1800 476 0.2644444 equivalence <NA> B
14 14 2100 508 0.2419048 equivalence <NA> B
15 15 200 51 0.2550000 superiority B B
16 16 2100 480 0.2285714 max <NA> B
17 17 2100 482 0.2295238 max <NA> B
18 18 1500 339 0.2260000 equivalence <NA> B
19 19 1500 352 0.2346667 equivalence <NA> A
20 20 1900 440 0.2315789 equivalence <NA> A
err sq_err err_te sq_err_te
1 -0.020294048 4.118484e-04 NA NA
2 -0.007014838 4.920796e-05 NA NA
3 -0.014463951 2.092059e-04 NA NA
4 -0.024881085 6.190684e-04 NA NA
5 0.007033408 4.946882e-05 NA NA
6 -0.017663275 3.119913e-04 NA NA
7 -0.003116444 9.712220e-06 NA NA
8 0.017648868 3.114825e-04 NA NA
9 0.015377199 2.364583e-04 NA NA
10 -0.099895742 9.979159e-03 NA NA
11 -0.016594114 2.753646e-04 NA NA
12 -0.001521558 2.315138e-06 NA NA
13 0.031967991 1.021952e-03 NA NA
14 0.007552201 5.703574e-05 NA NA
15 -0.047414042 2.248091e-03 NA NA
16 -0.014629099 2.140105e-04 NA NA
17 -0.006069625 3.684034e-05 NA NA
18 -0.006869535 4.719051e-05 NA NA
19 -0.014451375 2.088422e-04 NA NA
20 -0.020764240 4.311537e-04 NA NA
Metric history of specific trial works
Code
extract_history(res)
Output
look look_ns look_ns_all arm old_alloc ns ns_all sum_ys sum_ys_all
A 1 300 300 A 0.3333333 122 122 30 30
B 1 300 300 B 0.3333333 91 91 21 21
C 1 300 300 C 0.3333333 87 87 20 20
A1 2 400 400 A 0.3762498 158 158 34 34
B1 2 400 400 B 0.3113363 124 124 28 28
C1 2 400 400 C 0.3124139 118 118 30 30
A2 3 500 500 A 0.2283302 184 184 38 38
B2 3 500 500 B 0.3000846 158 158 33 33
C2 3 500 500 C 0.4715852 158 158 40 40
A3 4 600 600 A 0.2171704 210 210 40 40
B3 4 600 600 B 0.2395724 180 180 34 34
C3 4 600 600 C 0.5432572 210 210 56 56
A4 5 700 700 A 0.1500000 225 225 43 43
B4 5 700 700 B 0.1500000 194 194 37 37
C4 5 700 700 C 0.7000000 281 281 75 75
A5 6 800 800 A 0.1500000 234 234 43 43
B5 6 800 800 B 0.1500000 210 210 39 39
C5 6 800 800 C 0.7000000 356 356 97 97
A6 7 900 900 A 0.1500000 244 244 48 48
B6 7 900 900 B 0.1500000 223 223 41 41
C6 7 900 900 C 0.7000000 433 433 126 126
value
A 0.3333333
B 0.3333333
C 0.3333333
A1 0.3762498
B1 0.3113363
C1 0.3124139
A2 0.2283302
B2 0.3000846
C2 0.4715852
A3 0.2171704
B3 0.2395724
C3 0.5432572
A4 0.1500000
B4 0.1500000
C4 0.7000000
A5 0.1500000
B5 0.1500000
C5 0.7000000
A6 0.1500000
B6 0.1500000
C6 0.7000000
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