Nothing
tests/testthat/_snaps/calculate_mme.data.frame.md
In mmequiv: Calculate Standardized Morphine Milligram Equivalent Doses
Input validation works correctly
Code
calculate_mme(x = test_data, id_col = "missing_column")
Condition
Error in `calculate_mme()`:
! `id_col` column "missing_column" not found in `x`
Code
calculate_mme(x = bad_data)
Condition
Error in `calculate_mme()`:
! bad_data is missing required columns: "medication_name"
Code
calculate_mme(x = bad_data2, therapy_days_without_col = "therapy_days_without")
Condition
Error in `calculate_mme()`:
! bad_data2 is missing required columns: "therapy_days_without"
Code
calculate_mme(x = output)
Condition
Error in `calculate_mme.list()`:
! argument "therapy_days" is missing, with no default
Custom column names are handled correctly
Code
result
Output
$medications
# A tibble: 235 x 12
subject_id med_name dosage doses_daily duration_days therapy_duration
<chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 P001 Fentanyl patch ~ 12.5 1 7 7
2 P001 tramadol (mg) LA 125 1 30 30
3 P002 Hydrocodone (mg) 10 3 14 14
4 P002 tramadol (mg) 60 3 14 14
5 P003 Meperidine HCL ~ 50 4 7 7
6 P003 tramadol (mg) 90 3 7 7
7 P003 Opium (mg) 40 3 14 14
8 P003 Hydrocodone (mg) 5 2 3 3
9 P004 Hydrocodone (mg) 10 3 7 7
10 P005 Codeine (mg) 45 1 7 7
# i 225 more rows
# i 6 more variables: observation_period <dbl>, therapy_wo_bup <dbl>,
# observation_wo_bup <dbl>, factor <dbl>, mme <dbl>, single_day_mme <dbl>
$patient_summary_with_buprenorphine
subject_id therapy_days observation_window_days total_mme total_days
1 P001 7 30 960.00 37
2 P002 14 30 924.00 28
3 P003 7 30 2228.00 31
4 P004 7 30 210.00 7
5 P005 7 30 47.25 7
6 P006 7 30 3395.25 31
7 P007 5 30 50.00 5
8 P008 7 30 3136.00 7
9 P009 3 30 108.00 3
10 P010 28 42 5040.00 28
11 P011 7 30 2362.50 14
12 P012 10 30 1345.00 31
13 P013 3 30 17853.75 80
14 P014 30 45 13207.50 120
15 P015 7 30 57.75 7
16 P016 10 30 1195.50 20
17 P017 10 30 1826.50 54
18 P018 14 30 378.00 14
19 P019 14 30 2016.00 14
20 P020 30 45 3030.00 40
21 P021 10 30 1099.50 41
22 P022 28 42 1160.00 38
23 P023 3 30 270.00 3
24 P024 30 45 15360.00 30
25 P025 5 30 10005.00 65
26 P026 7 30 7276.50 84
27 P027 7 30 315.00 7
28 P028 10 30 742.00 18
29 P029 5 30 960.00 5
30 P030 10 30 140.00 10
31 P031 14 30 6172.50 134
32 P032 30 45 5332.50 37
33 P033 10 30 1002.00 24
34 P034 10 30 795.00 24
35 P035 7 30 1170.00 27
36 P036 3 30 450.00 10
37 P037 3 30 410.00 10
38 P038 14 30 2785.00 58
39 P039 10 30 1325.00 28
40 P040 10 30 2300.00 40
41 P041 7 30 1002.50 43
42 P042 10 30 499.50 10
43 P043 30 45 1110.00 40
44 P044 7 30 1637.25 22
45 P045 30 45 885.00 42
46 P046 90 135 8194.50 97
47 P047 30 45 2460.00 44
48 P048 10 30 80.00 10
49 P049 30 45 765.00 60
50 P050 7 30 1075.00 45
51 P051 10 30 1020.50 24
52 P052 7 30 105.00 7
53 P053 10 30 1183.50 47
54 P054 30 45 2107.50 50
55 P055 28 42 3125.00 68
56 P056 30 45 1023.75 35
57 P057 14 30 52.50 14
58 P058 14 30 10037.50 31
59 P059 14 30 2040.00 54
60 P060 3 30 285.00 10
61 P061 3 30 450.00 3
62 P062 5 30 630.00 25
63 P063 10 30 225.00 10
64 P064 3 30 49.50 3
65 P065 30 45 1944.75 50
66 P066 7 30 462.00 7
67 P067 30 45 12312.75 84
68 P068 5 30 1850.00 19
69 P069 10 30 688.50 17
70 P070 10 30 1900.00 70
71 P071 7 30 4865.00 44
72 P072 14 30 1691.00 59
73 P073 7 30 21200.00 88
74 P074 7 30 1510.00 37
75 P075 3 30 405.00 3
76 P076 30 45 8304.00 104
77 P077 5 30 504.75 15
78 P078 10 30 1007.00 27
79 P079 10 30 3899.00 24
80 P080 10 30 1840.00 30
81 P081 10 30 607.50 17
82 P082 3 30 1338.00 20
83 P083 30 45 4720.00 40
84 P084 14 30 1232.50 24
85 P085 5 30 1537.50 45
86 P086 14 30 9450.00 14
87 P087 7 30 3544.00 87
88 P088 10 30 2122.50 50
89 P089 14 30 14464.60 31
90 P090 7 30 155.25 10
91 P091 3 30 877.50 27
92 P092 30 45 1363.50 47
93 P093 7 30 262.50 7
94 P094 5 30 1464.50 36
95 P095 7 30 350.00 7
96 P096 10 30 1000.00 10
97 P097 7 30 20082.00 40
98 P098 7 30 840.00 7
99 P099 90 135 6038.50 130
100 P100 5 30 90.00 5
mme1 mme2 mme3 mme4
1 25.94595 137.14286 32.000000 55.000
2 33.00000 66.00000 30.800000 66.000
3 71.87097 318.28571 74.266667 204.000
4 30.00000 30.00000 7.000000 30.000
5 6.75000 6.75000 1.575000 6.750
6 109.52419 485.03571 113.175000 393.750
7 10.00000 10.00000 1.666667 10.000
8 448.00000 448.00000 104.533333 448.000
9 36.00000 36.00000 3.600000 36.000
10 180.00000 180.00000 120.000000 180.000
11 168.75000 337.50000 78.750000 337.500
12 43.38710 134.50000 44.833333 130.000
13 223.17188 5951.25000 595.125000 405.250
14 110.06250 440.25000 293.500000 160.250
15 8.25000 8.25000 1.925000 8.250
16 59.77500 119.55000 39.850000 119.550
17 33.82407 182.65000 60.883333 87.350
18 27.00000 27.00000 12.600000 27.000
19 144.00000 144.00000 67.200000 144.000
20 75.75000 101.00000 67.333333 123.000
21 26.81707 109.95000 36.650000 100.750
22 30.52632 41.42857 27.619048 80.000
23 90.00000 90.00000 9.000000 90.000
24 512.00000 512.00000 341.333333 512.000
25 153.92308 2001.00000 333.500000 186.000
26 86.62500 1039.50000 242.550000 333.000
27 45.00000 45.00000 10.500000 45.000
28 41.22222 74.20000 24.733333 114.000
29 192.00000 192.00000 32.000000 192.000
30 14.00000 14.00000 4.666667 14.000
31 46.06343 440.89286 205.750000 283.250
32 144.12162 177.75000 118.500000 229.500
33 41.75000 100.20000 33.400000 133.500
34 33.12500 79.50000 26.500000 67.500
35 43.33333 167.14286 39.000000 129.000
36 45.00000 150.00000 15.000000 70.000
37 41.00000 136.66667 13.666667 110.000
38 48.01724 198.92857 92.833333 183.500
39 47.32143 132.50000 44.166667 178.500
40 57.50000 230.00000 76.666667 110.000
41 23.31395 143.21429 33.416667 110.000
42 49.95000 49.95000 16.650000 49.950
43 27.75000 37.00000 24.666667 51.000
44 74.42045 233.89286 54.575000 188.250
45 21.07143 29.50000 19.666667 108.750
46 84.47938 91.05000 60.700000 103.500
47 55.90909 82.00000 54.666667 90.000
48 8.00000 8.00000 2.666667 8.000
49 12.75000 25.50000 17.000000 25.500
50 23.88889 153.57143 35.833333 71.500
51 42.52083 102.05000 34.016667 95.750
52 15.00000 15.00000 3.500000 15.000
53 25.18085 118.35000 39.450000 65.500
54 42.15000 70.25000 46.833333 180.750
55 45.95588 111.60714 74.404762 116.500
56 29.25000 34.12500 22.750000 54.750
57 3.75000 3.75000 1.750000 3.750
58 323.79032 716.96429 334.583333 972.100
59 37.77778 145.71429 68.000000 126.000
60 28.50000 95.00000 9.500000 75.000
61 150.00000 150.00000 15.000000 150.000
62 25.20000 126.00000 21.000000 78.000
63 22.50000 22.50000 7.500000 22.500
64 16.50000 16.50000 1.650000 16.500
65 38.89500 64.82500 43.216667 212.575
66 66.00000 66.00000 15.400000 66.000
67 146.58036 410.42500 273.616667 487.250
68 97.36842 370.00000 61.666667 290.000
69 40.50000 68.85000 22.950000 87.750
70 27.14286 190.00000 63.333333 40.000
71 110.56818 695.00000 162.166667 235.000
72 28.66102 120.78571 56.366667 139.000
73 240.90909 3028.57143 706.666667 470.000
74 40.81081 215.71429 50.333333 58.000
75 135.00000 135.00000 13.500000 135.000
76 79.84615 276.80000 184.533333 356.000
77 33.65000 100.95000 16.825000 80.475
78 37.29630 100.70000 33.566667 108.800
79 162.45833 389.90000 129.966667 416.000
80 61.33333 184.00000 61.333333 184.000
81 35.73529 60.75000 20.250000 67.500
82 66.90000 446.00000 44.600000 266.000
83 118.00000 157.33333 104.888889 184.000
84 51.35417 88.03571 41.083333 107.500
85 34.16667 307.50000 51.250000 182.500
86 675.00000 675.00000 315.000000 675.000
87 40.73563 506.28571 118.133333 217.000
88 42.45000 212.25000 70.750000 92.250
89 466.60000 1033.18571 482.153333 2032.100
90 15.52500 22.17857 5.175000 42.750
91 32.50000 292.50000 29.250000 183.750
92 29.01064 45.45000 30.300000 128.850
93 37.50000 37.50000 8.750000 37.500
94 40.68056 292.90000 48.816667 221.750
95 50.00000 50.00000 11.666667 50.000
96 100.00000 100.00000 33.333333 100.000
97 502.05000 2868.85714 669.400000 724.000
98 120.00000 120.00000 28.000000 120.000
99 46.45000 67.09444 44.729630 123.500
100 18.00000 18.00000 3.000000 18.000
$patient_summary_without_buprenorphine
subject_id therapy_days observation_window_days total_mme total_days
1 P001 7 30 960.00 37
2 P002 14 30 924.00 28
3 P003 7 30 2228.00 31
4 P004 7 30 210.00 7
5 P005 7 30 47.25 7
6 P006 7 30 3395.25 31
7 P007 5 30 50.00 5
8 P008 7 30 3136.00 7
9 P009 3 30 108.00 3
10 P010 28 42 5040.00 28
11 P011 7 30 2362.50 14
12 P012 10 30 1345.00 31
13 P013 3 30 17853.75 80
14 P014 30 45 13207.50 120
15 P015 7 30 57.75 7
16 P016 6 29 630.00 10
17 P017 10 30 1826.50 54
18 P018 14 30 378.00 14
19 P019 14 30 2016.00 14
20 P020 30 45 3030.00 40
21 P021 10 30 1099.50 41
22 P022 28 42 1160.00 38
23 P023 3 30 270.00 3
24 P024 30 45 15360.00 30
25 P025 5 30 10005.00 65
26 P026 7 30 7276.50 84
27 P027 7 30 315.00 7
28 P028 10 30 742.00 18
29 P029 5 30 960.00 5
30 P030 10 30 140.00 10
31 P031 14 30 6172.50 134
32 P032 30 45 5332.50 37
33 P033 10 30 1002.00 24
34 P034 10 30 795.00 24
35 P035 7 30 1170.00 27
36 P036 3 30 450.00 10
37 P037 3 30 410.00 10
38 P038 14 30 2785.00 58
39 P039 10 30 1325.00 28
40 P040 10 30 2300.00 40
41 P041 5 28 617.50 29
42 P042 10 30 499.50 10
43 P043 30 45 1110.00 40
44 P044 7 30 1637.25 22
45 P045 30 45 885.00 42
46 P046 90 135 8194.50 97
47 P047 30 45 2460.00 44
48 P048 10 30 80.00 10
49 P049 26 41 270.00 30
50 P050 7 30 1075.00 45
51 P051 10 30 1020.50 24
52 P052 7 30 105.00 7
53 P053 10 30 1183.50 47
54 P054 30 45 2107.50 50
55 P055 28 42 3125.00 68
56 P056 30 45 1023.75 35
57 P057 14 30 52.50 14
58 P058 11 23 1501.50 21
59 P059 14 30 2040.00 54
60 P060 3 30 285.00 10
61 P061 3 30 450.00 3
62 P062 5 30 630.00 25
63 P063 10 30 225.00 10
64 P064 3 30 49.50 3
65 P065 26 39 1096.50 40
66 P066 7 30 462.00 7
67 P067 30 45 12312.75 84
68 P068 5 30 1850.00 19
69 P069 10 30 688.50 17
70 P070 10 30 1900.00 70
71 P071 7 30 4865.00 44
72 P072 14 30 1691.00 59
73 P073 7 30 21200.00 88
74 P074 7 30 1510.00 37
75 P075 3 30 405.00 3
76 P076 30 45 8304.00 104
77 P077 3 20 300.00 5
78 P078 10 30 1007.00 27
79 P079 10 30 3899.00 24
80 P080 10 30 1840.00 30
81 P081 10 30 607.50 17
82 P082 3 30 1338.00 20
83 P083 30 45 4720.00 40
84 P084 14 30 1232.50 24
85 P085 1 29 1050.00 40
86 P086 14 30 9450.00 14
87 P087 7 30 3544.00 87
88 P088 10 30 2122.50 50
89 P089 10 23 613.00 24
90 P090 7 30 155.25 10
91 P091 3 30 877.50 27
92 P092 30 45 1363.50 47
93 P093 7 30 262.50 7
94 P094 5 30 1464.50 36
95 P095 7 30 350.00 7
96 P096 10 30 1000.00 10
97 P097 7 30 20082.00 40
98 P098 7 30 840.00 7
99 P099 90 135 6038.50 130
100 P100 5 30 90.00 5
mme1 mme2 mme3 mme4
1 25.94595 137.14286 32.000000 55.00
2 33.00000 66.00000 30.800000 66.00
3 71.87097 318.28571 74.266667 204.00
4 30.00000 30.00000 7.000000 30.00
5 6.75000 6.75000 1.575000 6.75
6 109.52419 485.03571 113.175000 393.75
7 10.00000 10.00000 1.666667 10.00
8 448.00000 448.00000 104.533333 448.00
9 36.00000 36.00000 3.600000 36.00
10 180.00000 180.00000 120.000000 180.00
11 168.75000 337.50000 78.750000 337.50
12 43.38710 134.50000 44.833333 130.00
13 223.17188 5951.25000 595.125000 405.25
14 110.06250 440.25000 293.500000 160.25
15 8.25000 8.25000 1.925000 8.25
16 63.00000 105.00000 21.724138 63.00
17 33.82407 182.65000 60.883333 87.35
18 27.00000 27.00000 12.600000 27.00
19 144.00000 144.00000 67.200000 144.00
20 75.75000 101.00000 67.333333 123.00
21 26.81707 109.95000 36.650000 100.75
22 30.52632 41.42857 27.619048 80.00
23 90.00000 90.00000 9.000000 90.00
24 512.00000 512.00000 341.333333 512.00
25 153.92308 2001.00000 333.500000 186.00
26 86.62500 1039.50000 242.550000 333.00
27 45.00000 45.00000 10.500000 45.00
28 41.22222 74.20000 24.733333 114.00
29 192.00000 192.00000 32.000000 192.00
30 14.00000 14.00000 4.666667 14.00
31 46.06343 440.89286 205.750000 283.25
32 144.12162 177.75000 118.500000 229.50
33 41.75000 100.20000 33.400000 133.50
34 33.12500 79.50000 26.500000 67.50
35 43.33333 167.14286 39.000000 129.00
36 45.00000 150.00000 15.000000 70.00
37 41.00000 136.66667 13.666667 110.00
38 48.01724 198.92857 92.833333 183.50
39 47.32143 132.50000 44.166667 178.50
40 57.50000 230.00000 76.666667 110.00
41 21.29310 123.50000 22.053571 82.50
42 49.95000 49.95000 16.650000 49.95
43 27.75000 37.00000 24.666667 51.00
44 74.42045 233.89286 54.575000 188.25
45 21.07143 29.50000 19.666667 108.75
46 84.47938 91.05000 60.700000 103.50
47 55.90909 82.00000 54.666667 90.00
48 8.00000 8.00000 2.666667 8.00
49 9.00000 10.38462 6.585366 9.00
50 23.88889 153.57143 35.833333 71.50
51 42.52083 102.05000 34.016667 95.75
52 15.00000 15.00000 3.500000 15.00
53 25.18085 118.35000 39.450000 65.50
54 42.15000 70.25000 46.833333 180.75
55 45.95588 111.60714 74.404762 116.50
56 29.25000 34.12500 22.750000 54.75
57 3.75000 3.75000 1.750000 3.75
58 71.50000 136.50000 65.282609 118.50
59 37.77778 145.71429 68.000000 126.00
60 28.50000 95.00000 9.500000 75.00
61 150.00000 150.00000 15.000000 150.00
62 25.20000 126.00000 21.000000 78.00
63 22.50000 22.50000 7.500000 22.50
64 16.50000 16.50000 1.650000 16.50
65 27.41250 42.17308 28.115385 127.75
66 66.00000 66.00000 15.400000 66.00
67 146.58036 410.42500 273.616667 487.25
68 97.36842 370.00000 61.666667 290.00
69 40.50000 68.85000 22.950000 87.75
70 27.14286 190.00000 63.333333 40.00
71 110.56818 695.00000 162.166667 235.00
72 28.66102 120.78571 56.366667 139.00
73 240.90909 3028.57143 706.666667 470.00
74 40.81081 215.71429 50.333333 58.00
75 135.00000 135.00000 13.500000 135.00
76 79.84615 276.80000 184.533333 356.00
77 60.00000 100.00000 15.000000 60.00
78 37.29630 100.70000 33.566667 108.80
79 162.45833 389.90000 129.966667 416.00
80 61.33333 184.00000 61.333333 184.00
81 35.73529 60.75000 20.250000 67.50
82 66.90000 446.00000 44.600000 266.00
83 118.00000 157.33333 104.888889 184.00
84 51.35417 88.03571 41.083333 107.50
85 26.25000 1050.00000 36.206897 85.00
86 675.00000 675.00000 315.000000 675.00
87 40.73563 506.28571 118.133333 217.00
88 42.45000 212.25000 70.750000 92.25
89 25.54167 61.30000 26.652174 53.30
90 15.52500 22.17857 5.175000 42.75
91 32.50000 292.50000 29.250000 183.75
92 29.01064 45.45000 30.300000 128.85
93 37.50000 37.50000 8.750000 37.50
94 40.68056 292.90000 48.816667 221.75
95 50.00000 50.00000 11.666667 50.00
96 100.00000 100.00000 33.333333 100.00
97 502.05000 2868.85714 669.400000 724.00
98 120.00000 120.00000 28.000000 120.00
99 46.45000 67.09444 44.729630 123.50
100 18.00000 18.00000 3.000000 18.00
Empty results are handled correctly
Code
calculate_mme(x = test_data)
Condition
Error in `calculate_mme()`:
! `x` must contian at least one row of data
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Input validation works correctly
Code
calculate_mme(x = test_data, id_col = "missing_column")
Condition
Error in `calculate_mme()`:
! `id_col` column "missing_column" not found in `x`
Code
calculate_mme(x = bad_data)
Condition
Error in `calculate_mme()`:
! bad_data is missing required columns: "medication_name"
Code
calculate_mme(x = bad_data2, therapy_days_without_col = "therapy_days_without")
Condition
Error in `calculate_mme()`:
! bad_data2 is missing required columns: "therapy_days_without"
Code
calculate_mme(x = output)
Condition
Error in `calculate_mme.list()`:
! argument "therapy_days" is missing, with no default
Custom column names are handled correctly
Code
result
Output
$medications
# A tibble: 235 x 12
subject_id med_name dosage doses_daily duration_days therapy_duration
<chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 P001 Fentanyl patch ~ 12.5 1 7 7
2 P001 tramadol (mg) LA 125 1 30 30
3 P002 Hydrocodone (mg) 10 3 14 14
4 P002 tramadol (mg) 60 3 14 14
5 P003 Meperidine HCL ~ 50 4 7 7
6 P003 tramadol (mg) 90 3 7 7
7 P003 Opium (mg) 40 3 14 14
8 P003 Hydrocodone (mg) 5 2 3 3
9 P004 Hydrocodone (mg) 10 3 7 7
10 P005 Codeine (mg) 45 1 7 7
# i 225 more rows
# i 6 more variables: observation_period <dbl>, therapy_wo_bup <dbl>,
# observation_wo_bup <dbl>, factor <dbl>, mme <dbl>, single_day_mme <dbl>
$patient_summary_with_buprenorphine
subject_id therapy_days observation_window_days total_mme total_days
1 P001 7 30 960.00 37
2 P002 14 30 924.00 28
3 P003 7 30 2228.00 31
4 P004 7 30 210.00 7
5 P005 7 30 47.25 7
6 P006 7 30 3395.25 31
7 P007 5 30 50.00 5
8 P008 7 30 3136.00 7
9 P009 3 30 108.00 3
10 P010 28 42 5040.00 28
11 P011 7 30 2362.50 14
12 P012 10 30 1345.00 31
13 P013 3 30 17853.75 80
14 P014 30 45 13207.50 120
15 P015 7 30 57.75 7
16 P016 10 30 1195.50 20
17 P017 10 30 1826.50 54
18 P018 14 30 378.00 14
19 P019 14 30 2016.00 14
20 P020 30 45 3030.00 40
21 P021 10 30 1099.50 41
22 P022 28 42 1160.00 38
23 P023 3 30 270.00 3
24 P024 30 45 15360.00 30
25 P025 5 30 10005.00 65
26 P026 7 30 7276.50 84
27 P027 7 30 315.00 7
28 P028 10 30 742.00 18
29 P029 5 30 960.00 5
30 P030 10 30 140.00 10
31 P031 14 30 6172.50 134
32 P032 30 45 5332.50 37
33 P033 10 30 1002.00 24
34 P034 10 30 795.00 24
35 P035 7 30 1170.00 27
36 P036 3 30 450.00 10
37 P037 3 30 410.00 10
38 P038 14 30 2785.00 58
39 P039 10 30 1325.00 28
40 P040 10 30 2300.00 40
41 P041 7 30 1002.50 43
42 P042 10 30 499.50 10
43 P043 30 45 1110.00 40
44 P044 7 30 1637.25 22
45 P045 30 45 885.00 42
46 P046 90 135 8194.50 97
47 P047 30 45 2460.00 44
48 P048 10 30 80.00 10
49 P049 30 45 765.00 60
50 P050 7 30 1075.00 45
51 P051 10 30 1020.50 24
52 P052 7 30 105.00 7
53 P053 10 30 1183.50 47
54 P054 30 45 2107.50 50
55 P055 28 42 3125.00 68
56 P056 30 45 1023.75 35
57 P057 14 30 52.50 14
58 P058 14 30 10037.50 31
59 P059 14 30 2040.00 54
60 P060 3 30 285.00 10
61 P061 3 30 450.00 3
62 P062 5 30 630.00 25
63 P063 10 30 225.00 10
64 P064 3 30 49.50 3
65 P065 30 45 1944.75 50
66 P066 7 30 462.00 7
67 P067 30 45 12312.75 84
68 P068 5 30 1850.00 19
69 P069 10 30 688.50 17
70 P070 10 30 1900.00 70
71 P071 7 30 4865.00 44
72 P072 14 30 1691.00 59
73 P073 7 30 21200.00 88
74 P074 7 30 1510.00 37
75 P075 3 30 405.00 3
76 P076 30 45 8304.00 104
77 P077 5 30 504.75 15
78 P078 10 30 1007.00 27
79 P079 10 30 3899.00 24
80 P080 10 30 1840.00 30
81 P081 10 30 607.50 17
82 P082 3 30 1338.00 20
83 P083 30 45 4720.00 40
84 P084 14 30 1232.50 24
85 P085 5 30 1537.50 45
86 P086 14 30 9450.00 14
87 P087 7 30 3544.00 87
88 P088 10 30 2122.50 50
89 P089 14 30 14464.60 31
90 P090 7 30 155.25 10
91 P091 3 30 877.50 27
92 P092 30 45 1363.50 47
93 P093 7 30 262.50 7
94 P094 5 30 1464.50 36
95 P095 7 30 350.00 7
96 P096 10 30 1000.00 10
97 P097 7 30 20082.00 40
98 P098 7 30 840.00 7
99 P099 90 135 6038.50 130
100 P100 5 30 90.00 5
mme1 mme2 mme3 mme4
1 25.94595 137.14286 32.000000 55.000
2 33.00000 66.00000 30.800000 66.000
3 71.87097 318.28571 74.266667 204.000
4 30.00000 30.00000 7.000000 30.000
5 6.75000 6.75000 1.575000 6.750
6 109.52419 485.03571 113.175000 393.750
7 10.00000 10.00000 1.666667 10.000
8 448.00000 448.00000 104.533333 448.000
9 36.00000 36.00000 3.600000 36.000
10 180.00000 180.00000 120.000000 180.000
11 168.75000 337.50000 78.750000 337.500
12 43.38710 134.50000 44.833333 130.000
13 223.17188 5951.25000 595.125000 405.250
14 110.06250 440.25000 293.500000 160.250
15 8.25000 8.25000 1.925000 8.250
16 59.77500 119.55000 39.850000 119.550
17 33.82407 182.65000 60.883333 87.350
18 27.00000 27.00000 12.600000 27.000
19 144.00000 144.00000 67.200000 144.000
20 75.75000 101.00000 67.333333 123.000
21 26.81707 109.95000 36.650000 100.750
22 30.52632 41.42857 27.619048 80.000
23 90.00000 90.00000 9.000000 90.000
24 512.00000 512.00000 341.333333 512.000
25 153.92308 2001.00000 333.500000 186.000
26 86.62500 1039.50000 242.550000 333.000
27 45.00000 45.00000 10.500000 45.000
28 41.22222 74.20000 24.733333 114.000
29 192.00000 192.00000 32.000000 192.000
30 14.00000 14.00000 4.666667 14.000
31 46.06343 440.89286 205.750000 283.250
32 144.12162 177.75000 118.500000 229.500
33 41.75000 100.20000 33.400000 133.500
34 33.12500 79.50000 26.500000 67.500
35 43.33333 167.14286 39.000000 129.000
36 45.00000 150.00000 15.000000 70.000
37 41.00000 136.66667 13.666667 110.000
38 48.01724 198.92857 92.833333 183.500
39 47.32143 132.50000 44.166667 178.500
40 57.50000 230.00000 76.666667 110.000
41 23.31395 143.21429 33.416667 110.000
42 49.95000 49.95000 16.650000 49.950
43 27.75000 37.00000 24.666667 51.000
44 74.42045 233.89286 54.575000 188.250
45 21.07143 29.50000 19.666667 108.750
46 84.47938 91.05000 60.700000 103.500
47 55.90909 82.00000 54.666667 90.000
48 8.00000 8.00000 2.666667 8.000
49 12.75000 25.50000 17.000000 25.500
50 23.88889 153.57143 35.833333 71.500
51 42.52083 102.05000 34.016667 95.750
52 15.00000 15.00000 3.500000 15.000
53 25.18085 118.35000 39.450000 65.500
54 42.15000 70.25000 46.833333 180.750
55 45.95588 111.60714 74.404762 116.500
56 29.25000 34.12500 22.750000 54.750
57 3.75000 3.75000 1.750000 3.750
58 323.79032 716.96429 334.583333 972.100
59 37.77778 145.71429 68.000000 126.000
60 28.50000 95.00000 9.500000 75.000
61 150.00000 150.00000 15.000000 150.000
62 25.20000 126.00000 21.000000 78.000
63 22.50000 22.50000 7.500000 22.500
64 16.50000 16.50000 1.650000 16.500
65 38.89500 64.82500 43.216667 212.575
66 66.00000 66.00000 15.400000 66.000
67 146.58036 410.42500 273.616667 487.250
68 97.36842 370.00000 61.666667 290.000
69 40.50000 68.85000 22.950000 87.750
70 27.14286 190.00000 63.333333 40.000
71 110.56818 695.00000 162.166667 235.000
72 28.66102 120.78571 56.366667 139.000
73 240.90909 3028.57143 706.666667 470.000
74 40.81081 215.71429 50.333333 58.000
75 135.00000 135.00000 13.500000 135.000
76 79.84615 276.80000 184.533333 356.000
77 33.65000 100.95000 16.825000 80.475
78 37.29630 100.70000 33.566667 108.800
79 162.45833 389.90000 129.966667 416.000
80 61.33333 184.00000 61.333333 184.000
81 35.73529 60.75000 20.250000 67.500
82 66.90000 446.00000 44.600000 266.000
83 118.00000 157.33333 104.888889 184.000
84 51.35417 88.03571 41.083333 107.500
85 34.16667 307.50000 51.250000 182.500
86 675.00000 675.00000 315.000000 675.000
87 40.73563 506.28571 118.133333 217.000
88 42.45000 212.25000 70.750000 92.250
89 466.60000 1033.18571 482.153333 2032.100
90 15.52500 22.17857 5.175000 42.750
91 32.50000 292.50000 29.250000 183.750
92 29.01064 45.45000 30.300000 128.850
93 37.50000 37.50000 8.750000 37.500
94 40.68056 292.90000 48.816667 221.750
95 50.00000 50.00000 11.666667 50.000
96 100.00000 100.00000 33.333333 100.000
97 502.05000 2868.85714 669.400000 724.000
98 120.00000 120.00000 28.000000 120.000
99 46.45000 67.09444 44.729630 123.500
100 18.00000 18.00000 3.000000 18.000
$patient_summary_without_buprenorphine
subject_id therapy_days observation_window_days total_mme total_days
1 P001 7 30 960.00 37
2 P002 14 30 924.00 28
3 P003 7 30 2228.00 31
4 P004 7 30 210.00 7
5 P005 7 30 47.25 7
6 P006 7 30 3395.25 31
7 P007 5 30 50.00 5
8 P008 7 30 3136.00 7
9 P009 3 30 108.00 3
10 P010 28 42 5040.00 28
11 P011 7 30 2362.50 14
12 P012 10 30 1345.00 31
13 P013 3 30 17853.75 80
14 P014 30 45 13207.50 120
15 P015 7 30 57.75 7
16 P016 6 29 630.00 10
17 P017 10 30 1826.50 54
18 P018 14 30 378.00 14
19 P019 14 30 2016.00 14
20 P020 30 45 3030.00 40
21 P021 10 30 1099.50 41
22 P022 28 42 1160.00 38
23 P023 3 30 270.00 3
24 P024 30 45 15360.00 30
25 P025 5 30 10005.00 65
26 P026 7 30 7276.50 84
27 P027 7 30 315.00 7
28 P028 10 30 742.00 18
29 P029 5 30 960.00 5
30 P030 10 30 140.00 10
31 P031 14 30 6172.50 134
32 P032 30 45 5332.50 37
33 P033 10 30 1002.00 24
34 P034 10 30 795.00 24
35 P035 7 30 1170.00 27
36 P036 3 30 450.00 10
37 P037 3 30 410.00 10
38 P038 14 30 2785.00 58
39 P039 10 30 1325.00 28
40 P040 10 30 2300.00 40
41 P041 5 28 617.50 29
42 P042 10 30 499.50 10
43 P043 30 45 1110.00 40
44 P044 7 30 1637.25 22
45 P045 30 45 885.00 42
46 P046 90 135 8194.50 97
47 P047 30 45 2460.00 44
48 P048 10 30 80.00 10
49 P049 26 41 270.00 30
50 P050 7 30 1075.00 45
51 P051 10 30 1020.50 24
52 P052 7 30 105.00 7
53 P053 10 30 1183.50 47
54 P054 30 45 2107.50 50
55 P055 28 42 3125.00 68
56 P056 30 45 1023.75 35
57 P057 14 30 52.50 14
58 P058 11 23 1501.50 21
59 P059 14 30 2040.00 54
60 P060 3 30 285.00 10
61 P061 3 30 450.00 3
62 P062 5 30 630.00 25
63 P063 10 30 225.00 10
64 P064 3 30 49.50 3
65 P065 26 39 1096.50 40
66 P066 7 30 462.00 7
67 P067 30 45 12312.75 84
68 P068 5 30 1850.00 19
69 P069 10 30 688.50 17
70 P070 10 30 1900.00 70
71 P071 7 30 4865.00 44
72 P072 14 30 1691.00 59
73 P073 7 30 21200.00 88
74 P074 7 30 1510.00 37
75 P075 3 30 405.00 3
76 P076 30 45 8304.00 104
77 P077 3 20 300.00 5
78 P078 10 30 1007.00 27
79 P079 10 30 3899.00 24
80 P080 10 30 1840.00 30
81 P081 10 30 607.50 17
82 P082 3 30 1338.00 20
83 P083 30 45 4720.00 40
84 P084 14 30 1232.50 24
85 P085 1 29 1050.00 40
86 P086 14 30 9450.00 14
87 P087 7 30 3544.00 87
88 P088 10 30 2122.50 50
89 P089 10 23 613.00 24
90 P090 7 30 155.25 10
91 P091 3 30 877.50 27
92 P092 30 45 1363.50 47
93 P093 7 30 262.50 7
94 P094 5 30 1464.50 36
95 P095 7 30 350.00 7
96 P096 10 30 1000.00 10
97 P097 7 30 20082.00 40
98 P098 7 30 840.00 7
99 P099 90 135 6038.50 130
100 P100 5 30 90.00 5
mme1 mme2 mme3 mme4
1 25.94595 137.14286 32.000000 55.00
2 33.00000 66.00000 30.800000 66.00
3 71.87097 318.28571 74.266667 204.00
4 30.00000 30.00000 7.000000 30.00
5 6.75000 6.75000 1.575000 6.75
6 109.52419 485.03571 113.175000 393.75
7 10.00000 10.00000 1.666667 10.00
8 448.00000 448.00000 104.533333 448.00
9 36.00000 36.00000 3.600000 36.00
10 180.00000 180.00000 120.000000 180.00
11 168.75000 337.50000 78.750000 337.50
12 43.38710 134.50000 44.833333 130.00
13 223.17188 5951.25000 595.125000 405.25
14 110.06250 440.25000 293.500000 160.25
15 8.25000 8.25000 1.925000 8.25
16 63.00000 105.00000 21.724138 63.00
17 33.82407 182.65000 60.883333 87.35
18 27.00000 27.00000 12.600000 27.00
19 144.00000 144.00000 67.200000 144.00
20 75.75000 101.00000 67.333333 123.00
21 26.81707 109.95000 36.650000 100.75
22 30.52632 41.42857 27.619048 80.00
23 90.00000 90.00000 9.000000 90.00
24 512.00000 512.00000 341.333333 512.00
25 153.92308 2001.00000 333.500000 186.00
26 86.62500 1039.50000 242.550000 333.00
27 45.00000 45.00000 10.500000 45.00
28 41.22222 74.20000 24.733333 114.00
29 192.00000 192.00000 32.000000 192.00
30 14.00000 14.00000 4.666667 14.00
31 46.06343 440.89286 205.750000 283.25
32 144.12162 177.75000 118.500000 229.50
33 41.75000 100.20000 33.400000 133.50
34 33.12500 79.50000 26.500000 67.50
35 43.33333 167.14286 39.000000 129.00
36 45.00000 150.00000 15.000000 70.00
37 41.00000 136.66667 13.666667 110.00
38 48.01724 198.92857 92.833333 183.50
39 47.32143 132.50000 44.166667 178.50
40 57.50000 230.00000 76.666667 110.00
41 21.29310 123.50000 22.053571 82.50
42 49.95000 49.95000 16.650000 49.95
43 27.75000 37.00000 24.666667 51.00
44 74.42045 233.89286 54.575000 188.25
45 21.07143 29.50000 19.666667 108.75
46 84.47938 91.05000 60.700000 103.50
47 55.90909 82.00000 54.666667 90.00
48 8.00000 8.00000 2.666667 8.00
49 9.00000 10.38462 6.585366 9.00
50 23.88889 153.57143 35.833333 71.50
51 42.52083 102.05000 34.016667 95.75
52 15.00000 15.00000 3.500000 15.00
53 25.18085 118.35000 39.450000 65.50
54 42.15000 70.25000 46.833333 180.75
55 45.95588 111.60714 74.404762 116.50
56 29.25000 34.12500 22.750000 54.75
57 3.75000 3.75000 1.750000 3.75
58 71.50000 136.50000 65.282609 118.50
59 37.77778 145.71429 68.000000 126.00
60 28.50000 95.00000 9.500000 75.00
61 150.00000 150.00000 15.000000 150.00
62 25.20000 126.00000 21.000000 78.00
63 22.50000 22.50000 7.500000 22.50
64 16.50000 16.50000 1.650000 16.50
65 27.41250 42.17308 28.115385 127.75
66 66.00000 66.00000 15.400000 66.00
67 146.58036 410.42500 273.616667 487.25
68 97.36842 370.00000 61.666667 290.00
69 40.50000 68.85000 22.950000 87.75
70 27.14286 190.00000 63.333333 40.00
71 110.56818 695.00000 162.166667 235.00
72 28.66102 120.78571 56.366667 139.00
73 240.90909 3028.57143 706.666667 470.00
74 40.81081 215.71429 50.333333 58.00
75 135.00000 135.00000 13.500000 135.00
76 79.84615 276.80000 184.533333 356.00
77 60.00000 100.00000 15.000000 60.00
78 37.29630 100.70000 33.566667 108.80
79 162.45833 389.90000 129.966667 416.00
80 61.33333 184.00000 61.333333 184.00
81 35.73529 60.75000 20.250000 67.50
82 66.90000 446.00000 44.600000 266.00
83 118.00000 157.33333 104.888889 184.00
84 51.35417 88.03571 41.083333 107.50
85 26.25000 1050.00000 36.206897 85.00
86 675.00000 675.00000 315.000000 675.00
87 40.73563 506.28571 118.133333 217.00
88 42.45000 212.25000 70.750000 92.25
89 25.54167 61.30000 26.652174 53.30
90 15.52500 22.17857 5.175000 42.75
91 32.50000 292.50000 29.250000 183.75
92 29.01064 45.45000 30.300000 128.85
93 37.50000 37.50000 8.750000 37.50
94 40.68056 292.90000 48.816667 221.75
95 50.00000 50.00000 11.666667 50.00
96 100.00000 100.00000 33.333333 100.00
97 502.05000 2868.85714 669.400000 724.00
98 120.00000 120.00000 28.000000 120.00
99 46.45000 67.09444 44.729630 123.50
100 18.00000 18.00000 3.000000 18.00
Empty results are handled correctly
Code
calculate_mme(x = test_data)
Condition
Error in `calculate_mme()`:
! `x` must contian at least one row of data
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