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tests/testthat/_snaps/tbl_hierarchical.md
In gtsummary: Presentation-Ready Data Summary and Analytic Result Tables
tbl_hierarchical(data) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = trt, denominator = trial2,
id = id))
Output
**Chemotherapy Treatment** **N = 200**
1 Drug A 45 (45.9)
2 Drug B 44 (43.1)
Code
tbl_hierarchical()
Condition
Error in `tbl_hierarchical()`:
! The `data` argument cannot be missing.
Code
tbl_hierarchical(data = letters)
Condition
Error in `tbl_hierarchical()`:
! The `data` argument must be class <data.frame>, not a character vector.
tbl_hierarchical(by) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = stage, by = trt,
denominator = trial2, id = id))
Condition
Warning:
Duplicate rows found in data for the "id" column.
i Percentages/Denominators are not correct.
Output
**T Stage** **Drug A** \nN = 98 **Drug B** \nN = 102
1 T1 22 (78.6) 22 (88.0)
2 T2 20 (80.0) 22 (75.9)
3 T3 20 (90.9) 18 (85.7)
4 T4 21 (91.3) 21 (77.8)
Code
tbl_hierarchical(data = trial2, variables = stage, by = name, denominator = trial2,
id = id)
Condition
Error in `tbl_hierarchical()`:
! Error processing `by` argument.
! Can't select columns that don't exist. x Column `name` doesn't exist.
i Select among columns "trt", "age", "marker", "stage", "grade", "response", "death", "ttdeath", and "id"
tbl_hierarchical(id) works properly
Code
tbl_hierarchical(data = trial2, variables = trt, denominator = trial2, id = 10)
Condition
Error in `tbl_hierarchical()`:
! Error processing `id` argument.
! Can't select columns past the end. i Location 10 doesn't exist. i There are only 9 columns.
i Select among columns "trt", "age", "marker", "stage", "grade", "response", "death", "ttdeath", and "id"
tbl_hierarchical(denominator) works properly
Code
tbl_hierarchical(data = trial2, variables = trt, denominator = "test")
Condition
Error in `tbl_hierarchical()`:
! The `denominator` argument must be a <data.frame> or an <integer>, not a string.
tbl_hierarchical(include) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = c(stage, grade),
denominator = trial2, id = id, include = grade))
Output
**T Stage** \n **Grade** **N = 200**
1 T1 <NA>
2 I 14 (82.4)
3 II 20 (87.0)
4 III 12 (92.3)
5 T2 <NA>
6 I 16 (88.9)
7 II 15 (88.2)
8 III 17 (89.5)
9 T3 <NA>
10 I 16 (88.9)
11 II 9 (81.8)
12 III 14 (100.0)
13 T4 <NA>
14 I 14 (93.3)
15 II 14 (82.4)
16 III 18 (100.0)
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = c(stage, grade), by = trt,
denominator = trial2, id = id, include = NULL))
Condition
Warning:
Duplicate rows found in data for the "id" column.
i Percentages/Denominators are not correct.
Output
**T Stage** \n **Grade** **Drug A** \nN = 98 **Drug B** \nN = 102
1 T1 <NA> <NA>
2 I 7 (87.5) 8 (88.9)
3 II 12 (85.7) 9 (100.0)
4 III 6 (100.0) 6 (85.7)
5 T2 <NA> <NA>
6 I 7 (87.5) 10 (100.0)
7 II 8 (100.0) 7 (77.8)
8 III 8 (88.9) 9 (90.0)
9 T3 <NA> <NA>
10 I 10 (90.9) 7 (100.0)
11 II 5 (100.0) 6 (100.0)
12 III 6 (100.0) 8 (100.0)
13 T4 <NA> <NA>
14 I 8 (100.0) 7 (100.0)
15 II 5 (100.0) 10 (83.3)
16 III 10 (100.0) 8 (100.0)
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, include = name)
Condition
Error in `tbl_hierarchical()`:
! Error processing `include` argument.
! Can't select columns that don't exist. x Column `name` doesn't exist.
i Select among columns "stage" and "grade"
tbl_hierarchical(statistic) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = c(stage, grade),
denominator = trial2, id = id, statistic = "{n}, {N}, {p}"))
Output
**T Stage** \n **Grade** **N = 200**
1 T1 36, 53, 67.9
2 I 14, 17, 82.4
3 II 20, 23, 87.0
4 III 12, 13, 92.3
5 T2 37, 54, 68.5
6 I 16, 18, 88.9
7 II 15, 17, 88.2
8 III 17, 19, 89.5
9 T3 32, 43, 74.4
10 I 16, 18, 88.9
11 II 9, 11, 81.8
12 III 14, 14, 100.0
13 T4 35, 50, 70.0
14 I 14, 15, 93.3
15 II 14, 17, 82.4
16 III 18, 18, 100.0
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, statistic = list(stage = "{n}"))
Condition
Error in `tbl_hierarchical()`:
! The `statistic` argument must be a string, not a list.
tbl_hierarchical(overall_row) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = trt, denominator = trial2,
id = id, overall_row = TRUE))
Output
**Chemotherapy Treatment** **N = 200**
1 Total number of patients with any event 50 (25.0)
2 Drug A 45 (45.9)
3 Drug B 44 (43.1)
Code
as.data.frame(res)
Output
**Chemotherapy Treatment** **I** \nN = 68 **II** \nN = 68
1 Total number of patients with any event 40 (58.8) 38 (55.9)
2 Drug A 25 (71.4) 27 (84.4)
3 Drug B 24 (72.7) 26 (72.2)
**III** \nN = 64
1 39 (60.9)
2 23 (74.2)
3 26 (78.8)
Code
tbl_hierarchical(data = trial2, variables = trt, denominator = trial2, id = id,
overall_row = "test")
Condition
Error in `tbl_hierarchical()`:
! The `overall_row` argument must be class <logical>, not a string.
tbl_hierarchical(label) works properly
Code
as.data.frame(res)
Output
**My Stage** \n **My Grade** **N = 200**
1 T1 36 (67.9)
2 I 14 (82.4)
3 II 20 (87.0)
4 III 12 (92.3)
5 T2 37 (68.5)
6 I 16 (88.9)
7 II 15 (88.2)
8 III 17 (89.5)
9 T3 32 (74.4)
10 I 16 (88.9)
11 II 9 (81.8)
12 III 14 (100.0)
13 T4 35 (70.0)
14 I 14 (93.3)
15 II 14 (82.4)
16 III 18 (100.0)
"**My Stage** \n **My Grade**"
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, label = "Stages")
Condition
Error in `internal_tbl_hierarchical()`:
! The `label` argument must be a named list, list of formulas, a single formula, or empty.
i Review ?syntax (`?cards::syntax()`) for examples and details.
tbl_hierarchical works properly when last variable of hierarchy is ordered
Code
as.data.frame(res_o)
Output
**Primary System Organ Class** \n **Highest Severity**
1 CARDIAC DISORDERS
2 MILD
3 MODERATE
4 SEVERE
5 GASTROINTESTINAL DISORDERS
6 MILD
7 MODERATE
8 SEVERE
9 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS
10 MILD
11 MODERATE
12 SEVERE
13 INFECTIONS AND INFESTATIONS
14 MILD
15 MODERATE
16 SEVERE
17 SKIN AND SUBCUTANEOUS TISSUE DISORDERS
18 MILD
19 MODERATE
20 SEVERE
**Placebo** \nN = 86 **Xanomeline High Dose** \nN = 84
1 <NA> <NA>
2 2 (2.3) 1 (1.2)
3 0 (0.0) 2 (2.4)
4 1 (1.2) 0 (0.0)
5 <NA> <NA>
6 9 (10.5) 2 (2.4)
7 1 (1.2) 2 (2.4)
8 0 (0.0) 0 (0.0)
9 <NA> <NA>
10 8 (9.3) 15 (17.9)
11 1 (1.2) 13 (15.5)
12 0 (0.0) 0 (0.0)
13 <NA> <NA>
14 4 (4.7) 2 (2.4)
15 2 (2.3) 1 (1.2)
16 0 (0.0) 0 (0.0)
17 <NA> <NA>
18 5 (5.8) 11 (13.1)
19 4 (4.7) 4 (4.8)
20 0 (0.0) 0 (0.0)
**Xanomeline Low Dose** \nN = 84
1 <NA>
2 0 (0.0)
3 0 (0.0)
4 0 (0.0)
5 <NA>
6 5 (6.0)
7 0 (0.0)
8 0 (0.0)
9 <NA>
10 14 (16.7)
11 11 (13.1)
12 2 (2.4)
13 <NA>
14 1 (1.2)
15 0 (0.0)
16 0 (0.0)
17 <NA>
18 6 (7.1)
19 9 (10.7)
20 0 (0.0)
Code
as.data.frame(res)
Output
**Primary System Organ Class** \n **AESEV** **N = 254**
1 CARDIAC DISORDERS 6 (2.4)
2 MILD 3 (1.2)
3 MODERATE 2 (0.8)
4 SEVERE 1 (0.4)
5 GASTROINTESTINAL DISORDERS 19 (7.5)
6 MILD 16 (6.3)
7 MODERATE 3 (1.2)
8 SEVERE 0 (0.0)
9 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 64 (25.2)
10 MILD 37 (14.6)
11 MODERATE 25 (9.8)
12 SEVERE 2 (0.8)
13 INFECTIONS AND INFESTATIONS 10 (3.9)
14 MILD 7 (2.8)
15 MODERATE 3 (1.2)
16 SEVERE 0 (0.0)
17 SKIN AND SUBCUTANEOUS TISSUE DISORDERS 39 (15.4)
18 MILD 22 (8.7)
19 MODERATE 17 (6.7)
20 SEVERE 0 (0.0)
tbl_hierarchical_count(data) works properly
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = trt))
Output
**Chemotherapy Treatment** Overall
1 Drug A 98
2 Drug B 102
Code
as.data.frame(tbl_hierarchical_count(data = iris, variables = Species))
Output
**Species** Overall
1 setosa 50
2 versicolor 50
3 virginica 50
Code
tbl_hierarchical_count()
Condition
Error in `tbl_hierarchical_count()`:
! The `data` argument cannot be missing.
Code
tbl_hierarchical_count(data = letters)
Condition
Error in `tbl_hierarchical_count()`:
! The `data` argument must be class <data.frame>, not a character vector.
tbl_hierarchical_count(by) works properly
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = stage, by = trt))
Output
**T Stage** **Drug A** **Drug B**
1 T1 28 25
2 T2 25 29
3 T3 22 21
4 T4 23 27
Code
tbl_hierarchical_count(data = trial, variables = stage, by = name)
Condition
Error in `tbl_hierarchical_count()`:
! Error processing `by` argument.
! Can't select columns that don't exist. x Column `name` doesn't exist.
i Select among columns "trt", "age", "marker", "stage", "grade", "response", "death", and "ttdeath"
tbl_hierarchical_count(denominator) works properly
Code
as.data.frame(res)
Output
**Chemotherapy Treatment** **N = 400**
1 Drug A 98
2 Drug B 102
Code
tbl_hierarchical_count(data = trial, variables = trt, denominator = "test")
Condition
Error in `tbl_hierarchical_count()`:
! The `denominator` argument must be empty, a <data.frame>, or an <integer>, not a string.
tbl_hierarchical_count(include) works properly
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = c(stage, grade),
include = grade))
Output
**T Stage** \n **Grade** Overall
1 T1 <NA>
2 I 17
3 II 23
4 III 13
5 T2 <NA>
6 I 18
7 II 17
8 III 19
9 T3 <NA>
10 I 18
11 II 11
12 III 14
13 T4 <NA>
14 I 15
15 II 17
16 III 18
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = c(stage, grade),
by = trt, include = NULL))
Output
**T Stage** \n **Grade** **Drug A** **Drug B**
1 T1 <NA> <NA>
2 I 8 9
3 II 14 9
4 III 6 7
5 T2 <NA> <NA>
6 I 8 10
7 II 8 9
8 III 9 10
9 T3 <NA> <NA>
10 I 11 7
11 II 5 6
12 III 6 8
13 T4 <NA> <NA>
14 I 8 7
15 II 5 12
16 III 10 8
Code
tbl_hierarchical_count(data = trial, variables = c(stage, grade), include = name)
Condition
Error in `tbl_hierarchical_count()`:
! Error processing `include` argument.
! Can't select columns that don't exist. x Column `name` doesn't exist.
i Select among columns "stage" and "grade"
tbl_hierarchical_count(overall_row) works properly
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = trt,
overall_row = TRUE))
Output
**Chemotherapy Treatment** Overall
1 Total number of events 200
2 Drug A 98
3 Drug B 102
Code
as.data.frame(res)
Output
**Chemotherapy Treatment** **I** **II** **III**
1 Total number of events 68 68 64
2 Drug A 35 32 31
3 Drug B 33 36 33
Code
tbl_hierarchical_count(data = trial, variables = trt, overall_row = "test")
Condition
Error in `tbl_hierarchical_count()`:
! The `overall_row` argument must be class <logical>, not a string.
tbl_hierarchical_count(label) works properly
Code
as.data.frame(res)
Output
**My Stage** \n **My Grade** Overall
1 T1 53
2 I 17
3 II 23
4 III 13
5 T2 54
6 I 18
7 II 17
8 III 19
9 T3 43
10 I 18
11 II 11
12 III 14
13 T4 50
14 I 15
15 II 17
16 III 18
"**My Stage** \n **My Grade**"
Code
tbl_hierarchical_count(data = trial, variables = c(stage, grade), label = "Stages")
Condition
Error in `internal_tbl_hierarchical()`:
! The `label` argument must be a named list, list of formulas, a single formula, or empty.
i Review ?syntax (`?cards::syntax()`) for examples and details.
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tbl_hierarchical(data) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = trt, denominator = trial2,
id = id))
Output
**Chemotherapy Treatment** **N = 200**
1 Drug A 45 (45.9)
2 Drug B 44 (43.1)
Code
tbl_hierarchical()
Condition
Error in `tbl_hierarchical()`:
! The `data` argument cannot be missing.
Code
tbl_hierarchical(data = letters)
Condition
Error in `tbl_hierarchical()`:
! The `data` argument must be class <data.frame>, not a character vector.
tbl_hierarchical(by) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = stage, by = trt,
denominator = trial2, id = id))
Condition
Warning:
Duplicate rows found in data for the "id" column.
i Percentages/Denominators are not correct.
Output
**T Stage** **Drug A** \nN = 98 **Drug B** \nN = 102
1 T1 22 (78.6) 22 (88.0)
2 T2 20 (80.0) 22 (75.9)
3 T3 20 (90.9) 18 (85.7)
4 T4 21 (91.3) 21 (77.8)
Code
tbl_hierarchical(data = trial2, variables = stage, by = name, denominator = trial2,
id = id)
Condition
Error in `tbl_hierarchical()`:
! Error processing `by` argument.
! Can't select columns that don't exist. x Column `name` doesn't exist.
i Select among columns "trt", "age", "marker", "stage", "grade", "response", "death", "ttdeath", and "id"
tbl_hierarchical(id) works properly
Code
tbl_hierarchical(data = trial2, variables = trt, denominator = trial2, id = 10)
Condition
Error in `tbl_hierarchical()`:
! Error processing `id` argument.
! Can't select columns past the end. i Location 10 doesn't exist. i There are only 9 columns.
i Select among columns "trt", "age", "marker", "stage", "grade", "response", "death", "ttdeath", and "id"
tbl_hierarchical(denominator) works properly
Code
tbl_hierarchical(data = trial2, variables = trt, denominator = "test")
Condition
Error in `tbl_hierarchical()`:
! The `denominator` argument must be a <data.frame> or an <integer>, not a string.
tbl_hierarchical(include) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = c(stage, grade),
denominator = trial2, id = id, include = grade))
Output
**T Stage** \n **Grade** **N = 200**
1 T1 <NA>
2 I 14 (82.4)
3 II 20 (87.0)
4 III 12 (92.3)
5 T2 <NA>
6 I 16 (88.9)
7 II 15 (88.2)
8 III 17 (89.5)
9 T3 <NA>
10 I 16 (88.9)
11 II 9 (81.8)
12 III 14 (100.0)
13 T4 <NA>
14 I 14 (93.3)
15 II 14 (82.4)
16 III 18 (100.0)
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = c(stage, grade), by = trt,
denominator = trial2, id = id, include = NULL))
Condition
Warning:
Duplicate rows found in data for the "id" column.
i Percentages/Denominators are not correct.
Output
**T Stage** \n **Grade** **Drug A** \nN = 98 **Drug B** \nN = 102
1 T1 <NA> <NA>
2 I 7 (87.5) 8 (88.9)
3 II 12 (85.7) 9 (100.0)
4 III 6 (100.0) 6 (85.7)
5 T2 <NA> <NA>
6 I 7 (87.5) 10 (100.0)
7 II 8 (100.0) 7 (77.8)
8 III 8 (88.9) 9 (90.0)
9 T3 <NA> <NA>
10 I 10 (90.9) 7 (100.0)
11 II 5 (100.0) 6 (100.0)
12 III 6 (100.0) 8 (100.0)
13 T4 <NA> <NA>
14 I 8 (100.0) 7 (100.0)
15 II 5 (100.0) 10 (83.3)
16 III 10 (100.0) 8 (100.0)
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, include = name)
Condition
Error in `tbl_hierarchical()`:
! Error processing `include` argument.
! Can't select columns that don't exist. x Column `name` doesn't exist.
i Select among columns "stage" and "grade"
tbl_hierarchical(statistic) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = c(stage, grade),
denominator = trial2, id = id, statistic = "{n}, {N}, {p}"))
Output
**T Stage** \n **Grade** **N = 200**
1 T1 36, 53, 67.9
2 I 14, 17, 82.4
3 II 20, 23, 87.0
4 III 12, 13, 92.3
5 T2 37, 54, 68.5
6 I 16, 18, 88.9
7 II 15, 17, 88.2
8 III 17, 19, 89.5
9 T3 32, 43, 74.4
10 I 16, 18, 88.9
11 II 9, 11, 81.8
12 III 14, 14, 100.0
13 T4 35, 50, 70.0
14 I 14, 15, 93.3
15 II 14, 17, 82.4
16 III 18, 18, 100.0
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, statistic = list(stage = "{n}"))
Condition
Error in `tbl_hierarchical()`:
! The `statistic` argument must be a string, not a list.
tbl_hierarchical(overall_row) works properly
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = trt, denominator = trial2,
id = id, overall_row = TRUE))
Output
**Chemotherapy Treatment** **N = 200**
1 Total number of patients with any event 50 (25.0)
2 Drug A 45 (45.9)
3 Drug B 44 (43.1)
Code
as.data.frame(res)
Output
**Chemotherapy Treatment** **I** \nN = 68 **II** \nN = 68
1 Total number of patients with any event 40 (58.8) 38 (55.9)
2 Drug A 25 (71.4) 27 (84.4)
3 Drug B 24 (72.7) 26 (72.2)
**III** \nN = 64
1 39 (60.9)
2 23 (74.2)
3 26 (78.8)
Code
tbl_hierarchical(data = trial2, variables = trt, denominator = trial2, id = id,
overall_row = "test")
Condition
Error in `tbl_hierarchical()`:
! The `overall_row` argument must be class <logical>, not a string.
tbl_hierarchical(label) works properly
Code
as.data.frame(res)
Output
**My Stage** \n **My Grade** **N = 200**
1 T1 36 (67.9)
2 I 14 (82.4)
3 II 20 (87.0)
4 III 12 (92.3)
5 T2 37 (68.5)
6 I 16 (88.9)
7 II 15 (88.2)
8 III 17 (89.5)
9 T3 32 (74.4)
10 I 16 (88.9)
11 II 9 (81.8)
12 III 14 (100.0)
13 T4 35 (70.0)
14 I 14 (93.3)
15 II 14 (82.4)
16 III 18 (100.0)
"**My Stage** \n **My Grade**"
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, label = "Stages")
Condition
Error in `internal_tbl_hierarchical()`:
! The `label` argument must be a named list, list of formulas, a single formula, or empty.
i Review ?syntax (`?cards::syntax()`) for examples and details.
tbl_hierarchical works properly when last variable of hierarchy is ordered
Code
as.data.frame(res_o)
Output
**Primary System Organ Class** \n **Highest Severity**
1 CARDIAC DISORDERS
2 MILD
3 MODERATE
4 SEVERE
5 GASTROINTESTINAL DISORDERS
6 MILD
7 MODERATE
8 SEVERE
9 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS
10 MILD
11 MODERATE
12 SEVERE
13 INFECTIONS AND INFESTATIONS
14 MILD
15 MODERATE
16 SEVERE
17 SKIN AND SUBCUTANEOUS TISSUE DISORDERS
18 MILD
19 MODERATE
20 SEVERE
**Placebo** \nN = 86 **Xanomeline High Dose** \nN = 84
1 <NA> <NA>
2 2 (2.3) 1 (1.2)
3 0 (0.0) 2 (2.4)
4 1 (1.2) 0 (0.0)
5 <NA> <NA>
6 9 (10.5) 2 (2.4)
7 1 (1.2) 2 (2.4)
8 0 (0.0) 0 (0.0)
9 <NA> <NA>
10 8 (9.3) 15 (17.9)
11 1 (1.2) 13 (15.5)
12 0 (0.0) 0 (0.0)
13 <NA> <NA>
14 4 (4.7) 2 (2.4)
15 2 (2.3) 1 (1.2)
16 0 (0.0) 0 (0.0)
17 <NA> <NA>
18 5 (5.8) 11 (13.1)
19 4 (4.7) 4 (4.8)
20 0 (0.0) 0 (0.0)
**Xanomeline Low Dose** \nN = 84
1 <NA>
2 0 (0.0)
3 0 (0.0)
4 0 (0.0)
5 <NA>
6 5 (6.0)
7 0 (0.0)
8 0 (0.0)
9 <NA>
10 14 (16.7)
11 11 (13.1)
12 2 (2.4)
13 <NA>
14 1 (1.2)
15 0 (0.0)
16 0 (0.0)
17 <NA>
18 6 (7.1)
19 9 (10.7)
20 0 (0.0)
Code
as.data.frame(res)
Output
**Primary System Organ Class** \n **AESEV** **N = 254**
1 CARDIAC DISORDERS 6 (2.4)
2 MILD 3 (1.2)
3 MODERATE 2 (0.8)
4 SEVERE 1 (0.4)
5 GASTROINTESTINAL DISORDERS 19 (7.5)
6 MILD 16 (6.3)
7 MODERATE 3 (1.2)
8 SEVERE 0 (0.0)
9 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 64 (25.2)
10 MILD 37 (14.6)
11 MODERATE 25 (9.8)
12 SEVERE 2 (0.8)
13 INFECTIONS AND INFESTATIONS 10 (3.9)
14 MILD 7 (2.8)
15 MODERATE 3 (1.2)
16 SEVERE 0 (0.0)
17 SKIN AND SUBCUTANEOUS TISSUE DISORDERS 39 (15.4)
18 MILD 22 (8.7)
19 MODERATE 17 (6.7)
20 SEVERE 0 (0.0)
tbl_hierarchical_count(data) works properly
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = trt))
Output
**Chemotherapy Treatment** Overall
1 Drug A 98
2 Drug B 102
Code
as.data.frame(tbl_hierarchical_count(data = iris, variables = Species))
Output
**Species** Overall
1 setosa 50
2 versicolor 50
3 virginica 50
Code
tbl_hierarchical_count()
Condition
Error in `tbl_hierarchical_count()`:
! The `data` argument cannot be missing.
Code
tbl_hierarchical_count(data = letters)
Condition
Error in `tbl_hierarchical_count()`:
! The `data` argument must be class <data.frame>, not a character vector.
tbl_hierarchical_count(by) works properly
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = stage, by = trt))
Output
**T Stage** **Drug A** **Drug B**
1 T1 28 25
2 T2 25 29
3 T3 22 21
4 T4 23 27
Code
tbl_hierarchical_count(data = trial, variables = stage, by = name)
Condition
Error in `tbl_hierarchical_count()`:
! Error processing `by` argument.
! Can't select columns that don't exist. x Column `name` doesn't exist.
i Select among columns "trt", "age", "marker", "stage", "grade", "response", "death", and "ttdeath"
tbl_hierarchical_count(denominator) works properly
Code
as.data.frame(res)
Output
**Chemotherapy Treatment** **N = 400**
1 Drug A 98
2 Drug B 102
Code
tbl_hierarchical_count(data = trial, variables = trt, denominator = "test")
Condition
Error in `tbl_hierarchical_count()`:
! The `denominator` argument must be empty, a <data.frame>, or an <integer>, not a string.
tbl_hierarchical_count(include) works properly
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = c(stage, grade),
include = grade))
Output
**T Stage** \n **Grade** Overall
1 T1 <NA>
2 I 17
3 II 23
4 III 13
5 T2 <NA>
6 I 18
7 II 17
8 III 19
9 T3 <NA>
10 I 18
11 II 11
12 III 14
13 T4 <NA>
14 I 15
15 II 17
16 III 18
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = c(stage, grade),
by = trt, include = NULL))
Output
**T Stage** \n **Grade** **Drug A** **Drug B**
1 T1 <NA> <NA>
2 I 8 9
3 II 14 9
4 III 6 7
5 T2 <NA> <NA>
6 I 8 10
7 II 8 9
8 III 9 10
9 T3 <NA> <NA>
10 I 11 7
11 II 5 6
12 III 6 8
13 T4 <NA> <NA>
14 I 8 7
15 II 5 12
16 III 10 8
Code
tbl_hierarchical_count(data = trial, variables = c(stage, grade), include = name)
Condition
Error in `tbl_hierarchical_count()`:
! Error processing `include` argument.
! Can't select columns that don't exist. x Column `name` doesn't exist.
i Select among columns "stage" and "grade"
tbl_hierarchical_count(overall_row) works properly
Code
as.data.frame(tbl_hierarchical_count(data = trial, variables = trt,
overall_row = TRUE))
Output
**Chemotherapy Treatment** Overall
1 Total number of events 200
2 Drug A 98
3 Drug B 102
Code
as.data.frame(res)
Output
**Chemotherapy Treatment** **I** **II** **III**
1 Total number of events 68 68 64
2 Drug A 35 32 31
3 Drug B 33 36 33
Code
tbl_hierarchical_count(data = trial, variables = trt, overall_row = "test")
Condition
Error in `tbl_hierarchical_count()`:
! The `overall_row` argument must be class <logical>, not a string.
tbl_hierarchical_count(label) works properly
Code
as.data.frame(res)
Output
**My Stage** \n **My Grade** Overall
1 T1 53
2 I 17
3 II 23
4 III 13
5 T2 54
6 I 18
7 II 17
8 III 19
9 T3 43
10 I 18
11 II 11
12 III 14
13 T4 50
14 I 15
15 II 17
16 III 18
"**My Stage** \n **My Grade**"
Code
tbl_hierarchical_count(data = trial, variables = c(stage, grade), label = "Stages")
Condition
Error in `internal_tbl_hierarchical()`:
! The `label` argument must be a named list, list of formulas, a single formula, or empty.
i Review ?syntax (`?cards::syntax()`) for examples and details.
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