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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 (46%)
2 Drug B 44 (43%)
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))
Output
**T Stage** **Drug A** \nN = 98 **Drug B** \nN = 102
1 T1 22 (79%) 22 (88%)
2 T2 20 (80%) 22 (76%)
3 T3 20 (91%) 18 (86%)
4 T4 21 (91%) 21 (78%)
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", id = id)
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%)
3 II 20 (87%)
4 III 12 (92%)
5 T2 <NA>
6 I 16 (89%)
7 II 15 (88%)
8 III 17 (89%)
9 T3 <NA>
10 I 16 (89%)
11 II 9 (82%)
12 III 14 (100%)
13 T4 <NA>
14 I 14 (93%)
15 II 14 (82%)
16 III 18 (100%)
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = c(stage, grade), by = trt,
denominator = trial2, id = id, include = NULL))
Output
**T Stage** \n **Grade** **Drug A** \nN = 98 **Drug B** \nN = 102
1 T1 <NA> <NA>
2 I 7 (88%) 8 (89%)
3 II 12 (86%) 9 (100%)
4 III 6 (100%) 6 (86%)
5 T2 <NA> <NA>
6 I 7 (88%) 10 (100%)
7 II 8 (100%) 7 (78%)
8 III 8 (89%) 9 (90%)
9 T3 <NA> <NA>
10 I 10 (91%) 7 (100%)
11 II 5 (100%) 6 (100%)
12 III 6 (100%) 8 (100%)
13 T4 <NA> <NA>
14 I 8 (100%) 7 (100%)
15 II 5 (100%) 10 (83%)
16 III 10 (100%) 8 (100%)
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, 68
2 I 14, 17, 82
3 II 20, 23, 87
4 III 12, 13, 92
5 T2 37, 54, 69
6 I 16, 18, 89
7 II 15, 17, 88
8 III 17, 19, 89
9 T3 32, 43, 74
10 I 16, 18, 89
11 II 9, 11, 82
12 III 14, 14, 100
13 T4 35, 50, 70
14 I 14, 15, 93
15 II 14, 17, 82
16 III 18, 18, 100
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, statistic = ~ list(stage = "{n}"))
Condition
Error in `tbl_hierarchical()`:
! Values passed in the `statistic` argument must be strings with glue elements containing one or more of "n", "N", and "p".
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 Number of patients with event 50 (25%)
2 Drug A 45 (46%)
3 Drug B 44 (43%)
Code
as.data.frame(res)
Output
**Chemotherapy Treatment** **I** \nN = 68 **II** \nN = 68 **III** \nN = 64
1 Number of patients with event 40 (59%) 38 (56%) 39 (61%)
2 Drug A 25 (71%) 27 (84%) 23 (74%)
3 Drug B 24 (73%) 26 (72%) 26 (79%)
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 (68%)
2 I 14 (82%)
3 II 20 (87%)
4 III 12 (92%)
5 T2 37 (69%)
6 I 16 (89%)
7 II 15 (88%)
8 III 17 (89%)
9 T3 32 (74%)
10 I 16 (89%)
11 II 9 (82%)
12 III 14 (100%)
13 T4 35 (70%)
14 I 14 (93%)
15 II 14 (82%)
16 III 18 (100%)
"**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(digits) works properly
Code
as.data.frame(res)
Output
**T Stage** \n **Grade** **N = 200**
1 T1 36 (68%)
2 I 14,0 (82.353%)
3 II 20,0 (86.957%)
4 III 12,0 (92.308%)
5 T2 37 (69%)
6 I 16,0 (88.889%)
7 II 15,0 (88.235%)
8 III 17,0 (89.474%)
9 T3 32 (74%)
10 I 16,0 (88.889%)
11 II 9,0 (81.818%)
12 III 14,0 (100.000%)
13 T4 35 (70%)
14 I 14,0 (93.333%)
15 II 14,0 (82.353%)
16 III 18,0 (100.000%)
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, digits = "0")
Condition
Error in `internal_tbl_hierarchical()`:
! The `digits` 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** **Placebo** \nN = 86 **Xanomeline High Dose** \nN = 84 **Xanomeline Low Dose** \nN = 84
1 CARDIAC DISORDERS <NA> <NA> <NA>
2 MILD 2 (2.3%) 1 (1.2%) 0 (0%)
3 MODERATE 0 (0%) 2 (2.4%) 0 (0%)
4 SEVERE 1 (1.2%) 0 (0%) 0 (0%)
5 GASTROINTESTINAL DISORDERS <NA> <NA> <NA>
6 MILD 9 (10%) 2 (2.4%) 5 (6.0%)
7 MODERATE 1 (1.2%) 2 (2.4%) 0 (0%)
8 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> <NA> <NA>
9 MILD 8 (9.3%) 15 (18%) 14 (17%)
10 MODERATE 1 (1.2%) 13 (15%) 11 (13%)
11 SEVERE 0 (0%) 0 (0%) 2 (2.4%)
12 INFECTIONS AND INFESTATIONS <NA> <NA> <NA>
13 MILD 4 (4.7%) 2 (2.4%) 1 (1.2%)
14 MODERATE 2 (2.3%) 1 (1.2%) 0 (0%)
15 SKIN AND SUBCUTANEOUS TISSUE DISORDERS <NA> <NA> <NA>
16 MILD 5 (5.8%) 11 (13%) 6 (7.1%)
17 MODERATE 4 (4.7%) 4 (4.8%) 9 (11%)
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 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 64 (25%)
9 MILD 37 (15%)
10 MODERATE 25 (9.8%)
11 SEVERE 2 (0.8%)
12 INFECTIONS AND INFESTATIONS 10 (3.9%)
13 MILD 7 (2.8%)
14 MODERATE 3 (1.2%)
15 SKIN AND SUBCUTANEOUS TISSUE DISORDERS 39 (15%)
16 MILD 22 (8.7%)
17 MODERATE 17 (6.7%)
Code
as.data.frame(res_o)
Output
**Primary System Organ Class** \n **Highest Severity** **Placebo** \nN = 86 **Xanomeline High Dose** \nN = 84 **Xanomeline Low Dose** \nN = 84
1 CARDIAC DISORDERS 3 (3.5%) 3 (3.6%) 0 (0%)
2 MILD 2 (2.3%) 1 (1.2%) 0 (0%)
3 MODERATE 0 (0%) 2 (2.4%) 0 (0%)
4 SEVERE 1 (1.2%) 0 (0%) 0 (0%)
5 GASTROINTESTINAL DISORDERS 10 (12%) 4 (4.8%) 5 (6.0%)
6 MILD 9 (10%) 2 (2.4%) 5 (6.0%)
7 MODERATE 1 (1.2%) 2 (2.4%) 0 (0%)
8 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 9 (10%) 28 (33%) 27 (32%)
9 MILD 8 (9.3%) 15 (18%) 14 (17%)
10 MODERATE 1 (1.2%) 13 (15%) 11 (13%)
11 SEVERE 0 (0%) 0 (0%) 2 (2.4%)
12 INFECTIONS AND INFESTATIONS 6 (7.0%) 3 (3.6%) 1 (1.2%)
13 MILD 4 (4.7%) 2 (2.4%) 1 (1.2%)
14 MODERATE 2 (2.3%) 1 (1.2%) 0 (0%)
15 SKIN AND SUBCUTANEOUS TISSUE DISORDERS 9 (10%) 15 (18%) 15 (18%)
16 MILD 5 (5.8%) 11 (13%) 6 (7.1%)
17 MODERATE 4 (4.7%) 4 (4.8%) 9 (11%)
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.
tbl_hierarchical_count(digits) works properly
Code
as.data.frame(res)
Output
**T Stage** \n **Grade** **Overall**
1 T1 53,0
2 I 17,0
3 II 23,0
4 III 13,0
5 T2 54,0
6 I 18,0
7 II 17,0
8 III 19,0
9 T3 43,0
10 I 18,0
11 II 11,0
12 III 14,0
13 T4 50,0
14 I 15,0
15 II 17,0
16 III 18,0
Code
tbl_hierarchical_count(data = trial, variables = c(stage, grade), digits = n ~
2)
Condition
Error in `tbl_hierarchical_count()`:
! Error processing `digits` argument.
! Can't select columns that don't exist. x Column `n` doesn't exist.
i Select among columns "stage", "grade", and "..ard_hierarchical_overall.."
tbl_hierarchical_count with 10+ hierarchy variables
Code
as.data.frame(res)
Output
**x1** \n **x2** \n **x3** \n **x4** \n **x5** \n **x6** \n **x7** \n **x8** \n **x9** \n ...
1 A
2 C
3 E
4 H
5 I
6 K
7 N
8 O
9 Q
10 S
11 J
12 K
13 M
14 P
15 Q
16 S
17 L
18 M
19 P
20 R
21 T
22 F
23 G
24 I
25 K
26 N
27 O
28 Q
29 S
30 L
31 M
32 O
33 R
34 S
35 P
36 R
37 T
38 H
39 I
40 K
41 M
42 O
43 Q
44 S
45 J
46 L
47 N
48 P
49 R
50 T
51 D
52 E
53 G
54 I
55 L
56 M
57 O
58 Q
59 T
60 N
61 P
62 Q
63 T
64 J
65 K
66 N
67 P
68 Q
69 T
70 L
71 N
72 O
73 R
74 T
75 H
76 I
77 L
78 N
79 P
80 R
81 T
82 J
83 K
84 N
85 O
86 Q
87 T
88 F
89 G
90 I
91 L
92 N
93 O
94 Q
95 T
96 J
97 K
98 N
99 O
100 R
101 S
102 L
103 M
104 P
105 Q
106 S
107 H
108 I
109 K
110 M
111 P
112 Q
113 T
114 R
115 T
116 N
117 P
118 R
119 T
120 B
121 C
122 E
123 G
124 J
125 K
126 M
127 O
128 Q
129 T
130 F
131 G
132 J
133 K
134 M
135 O
136 Q
137 S
138 H
139 I
140 K
141 M
142 P
143 R
144 T
145 D
146 E
147 H
148 J
149 K
150 N
151 O
152 Q
153 T
154 L
155 M
156 P
157 Q
158 T
159 F
160 G
161 I
162 K
163 N
164 O
165 Q
166 T
167 L
168 M
169 O
170 R
171 T
172 J
173 K
174 M
175 O
176 R
177 T
178 L
179 M
180 P
181 R
182 T
183 H
184 J
185 L
186 N
187 P
188 Q
189 T
**Overall**
1 <NA>
2 <NA>
3 <NA>
4 <NA>
5 <NA>
6 <NA>
7 <NA>
8 <NA>
9 <NA>
10 1
11 <NA>
12 <NA>
13 <NA>
14 <NA>
15 <NA>
16 1
17 <NA>
18 <NA>
19 <NA>
20 <NA>
21 1
22 <NA>
23 <NA>
24 <NA>
25 <NA>
26 <NA>
27 <NA>
28 <NA>
29 1
30 <NA>
31 <NA>
32 <NA>
33 <NA>
34 1
35 <NA>
36 <NA>
37 1
38 <NA>
39 <NA>
40 <NA>
41 <NA>
42 <NA>
43 <NA>
44 1
45 <NA>
46 <NA>
47 <NA>
48 <NA>
49 <NA>
50 1
51 <NA>
52 <NA>
53 <NA>
54 <NA>
55 <NA>
56 <NA>
57 <NA>
58 <NA>
59 1
60 <NA>
61 <NA>
62 <NA>
63 1
64 <NA>
65 <NA>
66 <NA>
67 <NA>
68 <NA>
69 1
70 <NA>
71 <NA>
72 <NA>
73 <NA>
74 1
75 <NA>
76 <NA>
77 <NA>
78 <NA>
79 <NA>
80 <NA>
81 1
82 <NA>
83 <NA>
84 <NA>
85 <NA>
86 <NA>
87 1
88 <NA>
89 <NA>
90 <NA>
91 <NA>
92 <NA>
93 <NA>
94 <NA>
95 1
96 <NA>
97 <NA>
98 <NA>
99 <NA>
100 <NA>
101 1
102 <NA>
103 <NA>
104 <NA>
105 <NA>
106 1
107 <NA>
108 <NA>
109 <NA>
110 <NA>
111 <NA>
112 <NA>
113 1
114 <NA>
115 1
116 <NA>
117 <NA>
118 <NA>
119 1
120 <NA>
121 <NA>
122 <NA>
123 <NA>
124 <NA>
125 <NA>
126 <NA>
127 <NA>
128 <NA>
129 1
130 <NA>
131 <NA>
132 <NA>
133 <NA>
134 <NA>
135 <NA>
136 <NA>
137 1
138 <NA>
139 <NA>
140 <NA>
141 <NA>
142 <NA>
143 <NA>
144 1
145 <NA>
146 <NA>
147 <NA>
148 <NA>
149 <NA>
150 <NA>
151 <NA>
152 <NA>
153 1
154 <NA>
155 <NA>
156 <NA>
157 <NA>
158 1
159 <NA>
160 <NA>
161 <NA>
162 <NA>
163 <NA>
164 <NA>
165 <NA>
166 1
167 <NA>
168 <NA>
169 <NA>
170 <NA>
171 1
172 <NA>
173 <NA>
174 <NA>
175 <NA>
176 <NA>
177 1
178 <NA>
179 <NA>
180 <NA>
181 <NA>
182 1
183 <NA>
184 <NA>
185 <NA>
186 <NA>
187 <NA>
188 <NA>
189 1
tbl_hierarchical_count table_body enables sorting
Code
res$table_body
Output
# A tibble: 21 x 11
row_type group1 group1_level group2 group2_level var_label variable label stat_1 stat_2 stat_3
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 level ..ard_hierarchical_overall.. <NA> <NA> <NA> <NA> ..ard_hierarchical_overall.. Number of patients with event 26 (30%) 42 (50%) 40 (48%)
2 level SEX F <NA> <NA> <NA> SEX F 13 (25%) 18 (45%) 23 (46%)
3 level SEX F AESOC CARDIAC DISORDERS <NA> AESOC CARDIAC DISORDERS 0 (0%) 1 (2.5%) 0 (0%)
4 level SEX F AESOC CARDIAC DISORDERS <NA> AETERM ATRIOVENTRICULAR BLOCK SECOND DEGREE 0 (0%) 1 (2.5%) 0 (0%)
5 level SEX F AESOC GASTROINTESTINAL DISORDERS <NA> AESOC GASTROINTESTINAL DISORDERS 3 (5.7%) 0 (0%) 3 (6.0%)
6 level SEX F AESOC GASTROINTESTINAL DISORDERS <NA> AETERM DIARRHOEA 3 (5.7%) 0 (0%) 3 (6.0%)
7 level SEX F AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 5 (9.4%) 11 (28%) 13 (26%)
8 level SEX F AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AETERM APPLICATION SITE ERYTHEMA 2 (3.8%) 5 (13%) 5 (10%)
9 level SEX F AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AETERM APPLICATION SITE PRURITUS 4 (7.5%) 10 (25%) 12 (24%)
10 level SEX F AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS <NA> AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS 6 (11%) 7 (18%) 9 (18%)
# i 11 more rows
tbl_hierarchical works with one arm level present
Code
as.data.frame(res)
Output
**Primary System Organ Class** \n **Dictionary-Derived Term** **Placebo** \nN = 86
1 EYE DISORDERS 1 (1.2%)
2 EYE ALLERGY 1 (1.2%)
3 EYE SWELLING 1 (1.2%)
tbl_hierarchical table_body group variables are correct with no by
Code
as.data.frame(res$table_body)
Output
row_type group1 group1_level var_label variable label stat_0
1 level AESOC CARDIAC DISORDERS <NA> AESOC CARDIAC DISORDERS 5 (2.0%)
2 level AESOC CARDIAC DISORDERS <NA> AEDECOD ATRIOVENTRICULAR BLOCK SECOND DEGREE 5 (2.0%)
3 level AESOC GASTROINTESTINAL DISORDERS <NA> AESOC GASTROINTESTINAL DISORDERS 18 (7.1%)
4 level AESOC GASTROINTESTINAL DISORDERS <NA> AEDECOD DIARRHOEA 18 (7.1%)
5 level AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 57 (22%)
6 level AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AEDECOD APPLICATION SITE ERYTHEMA 30 (12%)
7 level AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AEDECOD APPLICATION SITE PRURITUS 50 (20%)
8 level AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS <NA> AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS 38 (15%)
9 level AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS <NA> AEDECOD ERYTHEMA 38 (15%)
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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 (46%)
2 Drug B 44 (43%)
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))
Output
**T Stage** **Drug A** \nN = 98 **Drug B** \nN = 102
1 T1 22 (79%) 22 (88%)
2 T2 20 (80%) 22 (76%)
3 T3 20 (91%) 18 (86%)
4 T4 21 (91%) 21 (78%)
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", id = id)
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%)
3 II 20 (87%)
4 III 12 (92%)
5 T2 <NA>
6 I 16 (89%)
7 II 15 (88%)
8 III 17 (89%)
9 T3 <NA>
10 I 16 (89%)
11 II 9 (82%)
12 III 14 (100%)
13 T4 <NA>
14 I 14 (93%)
15 II 14 (82%)
16 III 18 (100%)
Code
as.data.frame(tbl_hierarchical(data = trial2, variables = c(stage, grade), by = trt,
denominator = trial2, id = id, include = NULL))
Output
**T Stage** \n **Grade** **Drug A** \nN = 98 **Drug B** \nN = 102
1 T1 <NA> <NA>
2 I 7 (88%) 8 (89%)
3 II 12 (86%) 9 (100%)
4 III 6 (100%) 6 (86%)
5 T2 <NA> <NA>
6 I 7 (88%) 10 (100%)
7 II 8 (100%) 7 (78%)
8 III 8 (89%) 9 (90%)
9 T3 <NA> <NA>
10 I 10 (91%) 7 (100%)
11 II 5 (100%) 6 (100%)
12 III 6 (100%) 8 (100%)
13 T4 <NA> <NA>
14 I 8 (100%) 7 (100%)
15 II 5 (100%) 10 (83%)
16 III 10 (100%) 8 (100%)
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, 68
2 I 14, 17, 82
3 II 20, 23, 87
4 III 12, 13, 92
5 T2 37, 54, 69
6 I 16, 18, 89
7 II 15, 17, 88
8 III 17, 19, 89
9 T3 32, 43, 74
10 I 16, 18, 89
11 II 9, 11, 82
12 III 14, 14, 100
13 T4 35, 50, 70
14 I 14, 15, 93
15 II 14, 17, 82
16 III 18, 18, 100
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, statistic = ~ list(stage = "{n}"))
Condition
Error in `tbl_hierarchical()`:
! Values passed in the `statistic` argument must be strings with glue elements containing one or more of "n", "N", and "p".
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 Number of patients with event 50 (25%)
2 Drug A 45 (46%)
3 Drug B 44 (43%)
Code
as.data.frame(res)
Output
**Chemotherapy Treatment** **I** \nN = 68 **II** \nN = 68 **III** \nN = 64
1 Number of patients with event 40 (59%) 38 (56%) 39 (61%)
2 Drug A 25 (71%) 27 (84%) 23 (74%)
3 Drug B 24 (73%) 26 (72%) 26 (79%)
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 (68%)
2 I 14 (82%)
3 II 20 (87%)
4 III 12 (92%)
5 T2 37 (69%)
6 I 16 (89%)
7 II 15 (88%)
8 III 17 (89%)
9 T3 32 (74%)
10 I 16 (89%)
11 II 9 (82%)
12 III 14 (100%)
13 T4 35 (70%)
14 I 14 (93%)
15 II 14 (82%)
16 III 18 (100%)
"**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(digits) works properly
Code
as.data.frame(res)
Output
**T Stage** \n **Grade** **N = 200**
1 T1 36 (68%)
2 I 14,0 (82.353%)
3 II 20,0 (86.957%)
4 III 12,0 (92.308%)
5 T2 37 (69%)
6 I 16,0 (88.889%)
7 II 15,0 (88.235%)
8 III 17,0 (89.474%)
9 T3 32 (74%)
10 I 16,0 (88.889%)
11 II 9,0 (81.818%)
12 III 14,0 (100.000%)
13 T4 35 (70%)
14 I 14,0 (93.333%)
15 II 14,0 (82.353%)
16 III 18,0 (100.000%)
Code
tbl_hierarchical(data = trial2, variables = c(stage, grade), denominator = trial2,
id = id, digits = "0")
Condition
Error in `internal_tbl_hierarchical()`:
! The `digits` 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** **Placebo** \nN = 86 **Xanomeline High Dose** \nN = 84 **Xanomeline Low Dose** \nN = 84
1 CARDIAC DISORDERS <NA> <NA> <NA>
2 MILD 2 (2.3%) 1 (1.2%) 0 (0%)
3 MODERATE 0 (0%) 2 (2.4%) 0 (0%)
4 SEVERE 1 (1.2%) 0 (0%) 0 (0%)
5 GASTROINTESTINAL DISORDERS <NA> <NA> <NA>
6 MILD 9 (10%) 2 (2.4%) 5 (6.0%)
7 MODERATE 1 (1.2%) 2 (2.4%) 0 (0%)
8 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> <NA> <NA>
9 MILD 8 (9.3%) 15 (18%) 14 (17%)
10 MODERATE 1 (1.2%) 13 (15%) 11 (13%)
11 SEVERE 0 (0%) 0 (0%) 2 (2.4%)
12 INFECTIONS AND INFESTATIONS <NA> <NA> <NA>
13 MILD 4 (4.7%) 2 (2.4%) 1 (1.2%)
14 MODERATE 2 (2.3%) 1 (1.2%) 0 (0%)
15 SKIN AND SUBCUTANEOUS TISSUE DISORDERS <NA> <NA> <NA>
16 MILD 5 (5.8%) 11 (13%) 6 (7.1%)
17 MODERATE 4 (4.7%) 4 (4.8%) 9 (11%)
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 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 64 (25%)
9 MILD 37 (15%)
10 MODERATE 25 (9.8%)
11 SEVERE 2 (0.8%)
12 INFECTIONS AND INFESTATIONS 10 (3.9%)
13 MILD 7 (2.8%)
14 MODERATE 3 (1.2%)
15 SKIN AND SUBCUTANEOUS TISSUE DISORDERS 39 (15%)
16 MILD 22 (8.7%)
17 MODERATE 17 (6.7%)
Code
as.data.frame(res_o)
Output
**Primary System Organ Class** \n **Highest Severity** **Placebo** \nN = 86 **Xanomeline High Dose** \nN = 84 **Xanomeline Low Dose** \nN = 84
1 CARDIAC DISORDERS 3 (3.5%) 3 (3.6%) 0 (0%)
2 MILD 2 (2.3%) 1 (1.2%) 0 (0%)
3 MODERATE 0 (0%) 2 (2.4%) 0 (0%)
4 SEVERE 1 (1.2%) 0 (0%) 0 (0%)
5 GASTROINTESTINAL DISORDERS 10 (12%) 4 (4.8%) 5 (6.0%)
6 MILD 9 (10%) 2 (2.4%) 5 (6.0%)
7 MODERATE 1 (1.2%) 2 (2.4%) 0 (0%)
8 GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 9 (10%) 28 (33%) 27 (32%)
9 MILD 8 (9.3%) 15 (18%) 14 (17%)
10 MODERATE 1 (1.2%) 13 (15%) 11 (13%)
11 SEVERE 0 (0%) 0 (0%) 2 (2.4%)
12 INFECTIONS AND INFESTATIONS 6 (7.0%) 3 (3.6%) 1 (1.2%)
13 MILD 4 (4.7%) 2 (2.4%) 1 (1.2%)
14 MODERATE 2 (2.3%) 1 (1.2%) 0 (0%)
15 SKIN AND SUBCUTANEOUS TISSUE DISORDERS 9 (10%) 15 (18%) 15 (18%)
16 MILD 5 (5.8%) 11 (13%) 6 (7.1%)
17 MODERATE 4 (4.7%) 4 (4.8%) 9 (11%)
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.
tbl_hierarchical_count(digits) works properly
Code
as.data.frame(res)
Output
**T Stage** \n **Grade** **Overall**
1 T1 53,0
2 I 17,0
3 II 23,0
4 III 13,0
5 T2 54,0
6 I 18,0
7 II 17,0
8 III 19,0
9 T3 43,0
10 I 18,0
11 II 11,0
12 III 14,0
13 T4 50,0
14 I 15,0
15 II 17,0
16 III 18,0
Code
tbl_hierarchical_count(data = trial, variables = c(stage, grade), digits = n ~
2)
Condition
Error in `tbl_hierarchical_count()`:
! Error processing `digits` argument.
! Can't select columns that don't exist. x Column `n` doesn't exist.
i Select among columns "stage", "grade", and "..ard_hierarchical_overall.."
tbl_hierarchical_count with 10+ hierarchy variables
Code
as.data.frame(res)
Output
**x1** \n **x2** \n **x3** \n **x4** \n **x5** \n **x6** \n **x7** \n **x8** \n **x9** \n ...
1 A
2 C
3 E
4 H
5 I
6 K
7 N
8 O
9 Q
10 S
11 J
12 K
13 M
14 P
15 Q
16 S
17 L
18 M
19 P
20 R
21 T
22 F
23 G
24 I
25 K
26 N
27 O
28 Q
29 S
30 L
31 M
32 O
33 R
34 S
35 P
36 R
37 T
38 H
39 I
40 K
41 M
42 O
43 Q
44 S
45 J
46 L
47 N
48 P
49 R
50 T
51 D
52 E
53 G
54 I
55 L
56 M
57 O
58 Q
59 T
60 N
61 P
62 Q
63 T
64 J
65 K
66 N
67 P
68 Q
69 T
70 L
71 N
72 O
73 R
74 T
75 H
76 I
77 L
78 N
79 P
80 R
81 T
82 J
83 K
84 N
85 O
86 Q
87 T
88 F
89 G
90 I
91 L
92 N
93 O
94 Q
95 T
96 J
97 K
98 N
99 O
100 R
101 S
102 L
103 M
104 P
105 Q
106 S
107 H
108 I
109 K
110 M
111 P
112 Q
113 T
114 R
115 T
116 N
117 P
118 R
119 T
120 B
121 C
122 E
123 G
124 J
125 K
126 M
127 O
128 Q
129 T
130 F
131 G
132 J
133 K
134 M
135 O
136 Q
137 S
138 H
139 I
140 K
141 M
142 P
143 R
144 T
145 D
146 E
147 H
148 J
149 K
150 N
151 O
152 Q
153 T
154 L
155 M
156 P
157 Q
158 T
159 F
160 G
161 I
162 K
163 N
164 O
165 Q
166 T
167 L
168 M
169 O
170 R
171 T
172 J
173 K
174 M
175 O
176 R
177 T
178 L
179 M
180 P
181 R
182 T
183 H
184 J
185 L
186 N
187 P
188 Q
189 T
**Overall**
1 <NA>
2 <NA>
3 <NA>
4 <NA>
5 <NA>
6 <NA>
7 <NA>
8 <NA>
9 <NA>
10 1
11 <NA>
12 <NA>
13 <NA>
14 <NA>
15 <NA>
16 1
17 <NA>
18 <NA>
19 <NA>
20 <NA>
21 1
22 <NA>
23 <NA>
24 <NA>
25 <NA>
26 <NA>
27 <NA>
28 <NA>
29 1
30 <NA>
31 <NA>
32 <NA>
33 <NA>
34 1
35 <NA>
36 <NA>
37 1
38 <NA>
39 <NA>
40 <NA>
41 <NA>
42 <NA>
43 <NA>
44 1
45 <NA>
46 <NA>
47 <NA>
48 <NA>
49 <NA>
50 1
51 <NA>
52 <NA>
53 <NA>
54 <NA>
55 <NA>
56 <NA>
57 <NA>
58 <NA>
59 1
60 <NA>
61 <NA>
62 <NA>
63 1
64 <NA>
65 <NA>
66 <NA>
67 <NA>
68 <NA>
69 1
70 <NA>
71 <NA>
72 <NA>
73 <NA>
74 1
75 <NA>
76 <NA>
77 <NA>
78 <NA>
79 <NA>
80 <NA>
81 1
82 <NA>
83 <NA>
84 <NA>
85 <NA>
86 <NA>
87 1
88 <NA>
89 <NA>
90 <NA>
91 <NA>
92 <NA>
93 <NA>
94 <NA>
95 1
96 <NA>
97 <NA>
98 <NA>
99 <NA>
100 <NA>
101 1
102 <NA>
103 <NA>
104 <NA>
105 <NA>
106 1
107 <NA>
108 <NA>
109 <NA>
110 <NA>
111 <NA>
112 <NA>
113 1
114 <NA>
115 1
116 <NA>
117 <NA>
118 <NA>
119 1
120 <NA>
121 <NA>
122 <NA>
123 <NA>
124 <NA>
125 <NA>
126 <NA>
127 <NA>
128 <NA>
129 1
130 <NA>
131 <NA>
132 <NA>
133 <NA>
134 <NA>
135 <NA>
136 <NA>
137 1
138 <NA>
139 <NA>
140 <NA>
141 <NA>
142 <NA>
143 <NA>
144 1
145 <NA>
146 <NA>
147 <NA>
148 <NA>
149 <NA>
150 <NA>
151 <NA>
152 <NA>
153 1
154 <NA>
155 <NA>
156 <NA>
157 <NA>
158 1
159 <NA>
160 <NA>
161 <NA>
162 <NA>
163 <NA>
164 <NA>
165 <NA>
166 1
167 <NA>
168 <NA>
169 <NA>
170 <NA>
171 1
172 <NA>
173 <NA>
174 <NA>
175 <NA>
176 <NA>
177 1
178 <NA>
179 <NA>
180 <NA>
181 <NA>
182 1
183 <NA>
184 <NA>
185 <NA>
186 <NA>
187 <NA>
188 <NA>
189 1
tbl_hierarchical_count table_body enables sorting
Code
res$table_body
Output
# A tibble: 21 x 11
row_type group1 group1_level group2 group2_level var_label variable label stat_1 stat_2 stat_3
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 level ..ard_hierarchical_overall.. <NA> <NA> <NA> <NA> ..ard_hierarchical_overall.. Number of patients with event 26 (30%) 42 (50%) 40 (48%)
2 level SEX F <NA> <NA> <NA> SEX F 13 (25%) 18 (45%) 23 (46%)
3 level SEX F AESOC CARDIAC DISORDERS <NA> AESOC CARDIAC DISORDERS 0 (0%) 1 (2.5%) 0 (0%)
4 level SEX F AESOC CARDIAC DISORDERS <NA> AETERM ATRIOVENTRICULAR BLOCK SECOND DEGREE 0 (0%) 1 (2.5%) 0 (0%)
5 level SEX F AESOC GASTROINTESTINAL DISORDERS <NA> AESOC GASTROINTESTINAL DISORDERS 3 (5.7%) 0 (0%) 3 (6.0%)
6 level SEX F AESOC GASTROINTESTINAL DISORDERS <NA> AETERM DIARRHOEA 3 (5.7%) 0 (0%) 3 (6.0%)
7 level SEX F AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 5 (9.4%) 11 (28%) 13 (26%)
8 level SEX F AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AETERM APPLICATION SITE ERYTHEMA 2 (3.8%) 5 (13%) 5 (10%)
9 level SEX F AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AETERM APPLICATION SITE PRURITUS 4 (7.5%) 10 (25%) 12 (24%)
10 level SEX F AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS <NA> AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS 6 (11%) 7 (18%) 9 (18%)
# i 11 more rows
tbl_hierarchical works with one arm level present
Code
as.data.frame(res)
Output
**Primary System Organ Class** \n **Dictionary-Derived Term** **Placebo** \nN = 86
1 EYE DISORDERS 1 (1.2%)
2 EYE ALLERGY 1 (1.2%)
3 EYE SWELLING 1 (1.2%)
tbl_hierarchical table_body group variables are correct with no by
Code
as.data.frame(res$table_body)
Output
row_type group1 group1_level var_label variable label stat_0
1 level AESOC CARDIAC DISORDERS <NA> AESOC CARDIAC DISORDERS 5 (2.0%)
2 level AESOC CARDIAC DISORDERS <NA> AEDECOD ATRIOVENTRICULAR BLOCK SECOND DEGREE 5 (2.0%)
3 level AESOC GASTROINTESTINAL DISORDERS <NA> AESOC GASTROINTESTINAL DISORDERS 18 (7.1%)
4 level AESOC GASTROINTESTINAL DISORDERS <NA> AEDECOD DIARRHOEA 18 (7.1%)
5 level AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS 57 (22%)
6 level AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AEDECOD APPLICATION SITE ERYTHEMA 30 (12%)
7 level AESOC GENERAL DISORDERS AND ADMINISTRATION SITE CONDITIONS <NA> AEDECOD APPLICATION SITE PRURITUS 50 (20%)
8 level AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS <NA> AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS 38 (15%)
9 level AESOC SKIN AND SUBCUTANEOUS TISSUE DISORDERS <NA> AEDECOD ERYTHEMA 38 (15%)
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