Nothing
tests/testthat/_snaps/add_n.md
In gtsummary: Presentation-Ready Data Summary and Analytic Result Tables
no errors/warnings with standard use
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 200 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 189 47 (38, 57)
5 Unknown <NA> 11
6 Marker Level (ng/mL) 190 0.64 (0.22, 1.39)
7 Unknown <NA> 10
8 T Stage 200 <NA>
9 T1 <NA> 53 (27%)
10 T2 <NA> 54 (27%)
11 T3 <NA> 43 (22%)
12 T4 <NA> 50 (25%)
13 Grade 200 <NA>
14 I <NA> 68 (34%)
15 II <NA> 68 (34%)
16 III <NA> 64 (32%)
17 Tumor Response 193 61 (32%)
18 Unknown <NA> 7
19 Patient Died 200 112 (56%)
20 Months to Death/Censor 200 22.4 (16.0, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 189 46 (37, 59) 48 (39, 56)
2 Unknown <NA> 7 4
3 Marker Level (ng/mL) 190 0.84 (0.24, 1.57) 0.52 (0.19, 1.20)
4 Unknown <NA> 6 4
5 T Stage 200 <NA> <NA>
6 T1 <NA> 28 (29%) 25 (25%)
7 T2 <NA> 25 (26%) 29 (28%)
8 T3 <NA> 22 (22%) 21 (21%)
9 T4 <NA> 23 (23%) 27 (26%)
10 Grade 200 <NA> <NA>
11 I <NA> 35 (36%) 33 (32%)
12 II <NA> 32 (33%) 36 (35%)
13 III <NA> 31 (32%) 33 (32%)
14 Tumor Response 193 28 (29%) 33 (34%)
15 Unknown <NA> 3 4
16 Patient Died 200 52 (53%) 60 (59%)
17 Months to Death/Censor 200 23.5 (17.4, 24.0) 21.2 (14.6, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N = 200** **N**
1 Chemotherapy Treatment <NA> 200
2 Drug A 98 (49%) <NA>
3 Drug B 102 (51%) <NA>
4 Age 47 (38, 57) 189
5 Unknown 11 <NA>
6 Marker Level (ng/mL) 0.64 (0.22, 1.39) 190
7 Unknown 10 <NA>
8 T Stage <NA> 200
9 T1 53 (27%) <NA>
10 T2 54 (27%) <NA>
11 T3 43 (22%) <NA>
12 T4 50 (25%) <NA>
13 Grade <NA> 200
14 I 68 (34%) <NA>
15 II 68 (34%) <NA>
16 III 64 (32%) <NA>
17 Tumor Response 61 (32%) 193
18 Unknown 7 <NA>
19 Patient Died 112 (56%) 200
20 Months to Death/Censor 22.4 (16.0, 24.0) 200
Code
res %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **N**
1 Age 46 (37, 59) 48 (39, 56) 189
2 Unknown 7 4 <NA>
3 Marker Level (ng/mL) 0.84 (0.24, 1.57) 0.52 (0.19, 1.20) 190
4 Unknown 6 4 <NA>
5 T Stage <NA> <NA> 200
6 T1 28 (29%) 25 (25%) <NA>
7 T2 25 (26%) 29 (28%) <NA>
8 T3 22 (22%) 21 (21%) <NA>
9 T4 23 (23%) 27 (26%) <NA>
10 Grade <NA> <NA> 200
11 I 35 (36%) 33 (32%) <NA>
12 II 32 (33%) 36 (35%) <NA>
13 III 31 (32%) 33 (32%) <NA>
14 Tumor Response 28 (29%) 33 (34%) 193
15 Unknown 3 4 <NA>
16 Patient Died 52 (53%) 60 (59%) 200
17 Months to Death/Censor 23.5 (17.4, 24.0) 21.2 (14.6, 24.0) 200
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 20020001000 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 20018911955.5 47 (38, 57)
5 Unknown <NA> 11
6 Marker Level (ng/mL) 20019010955.0 0.64 (0.22, 1.39)
7 Unknown <NA> 10
8 T Stage 20020001000 <NA>
9 T1 <NA> 53 (27%)
10 T2 <NA> 54 (27%)
11 T3 <NA> 43 (22%)
12 T4 <NA> 50 (25%)
13 Grade 20020001000 <NA>
14 I <NA> 68 (34%)
15 II <NA> 68 (34%)
16 III <NA> 64 (32%)
17 Tumor Response 2001937973.5 61 (32%)
18 Unknown <NA> 7
19 Patient Died 20020001000 112 (56%)
20 Months to Death/Censor 20020001000 22.4 (16.0, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 20020001000 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 20018911955.5 47 (38, 57)
5 Unknown <NA> 11
6 Marker Level (ng/mL) 20019010955.0 0.64 (0.22, 1.39)
7 Unknown <NA> 10
8 T Stage 20020001000 <NA>
9 T1 <NA> 53 (27%)
10 T2 <NA> 54 (27%)
11 T3 <NA> 43 (22%)
12 T4 <NA> 50 (25%)
13 Grade 20020001000 <NA>
14 I <NA> 68 (34%)
15 II <NA> 68 (34%)
16 III <NA> 64 (32%)
17 Tumor Response 2001937973.5 61 (32%)
18 Unknown <NA> 7
19 Patient Died 20020001000 112 (56%)
20 Months to Death/Censor 20020001000 22.4 (16.0, 24.0)
no errors/warnings with standard use with continuous2
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 200 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 189 <NA>
5 Median (IQR) <NA> 47 (38, 57)
6 Unknown <NA> 11
7 Marker Level (ng/mL) 190 <NA>
8 Median (IQR) <NA> 0.64 (0.22, 1.39)
9 Unknown <NA> 10
10 T Stage 200 <NA>
11 T1 <NA> 53 (27%)
12 T2 <NA> 54 (27%)
13 T3 <NA> 43 (22%)
14 T4 <NA> 50 (25%)
15 Grade 200 <NA>
16 I <NA> 68 (34%)
17 II <NA> 68 (34%)
18 III <NA> 64 (32%)
19 Tumor Response 193 61 (32%)
20 Unknown <NA> 7
21 Patient Died 200 112 (56%)
22 Months to Death/Censor 200 <NA>
23 Median (IQR) <NA> 22.4 (16.0, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 189 <NA> <NA>
2 Median (IQR) <NA> 46 (37, 59) 48 (39, 56)
3 Unknown <NA> 7 4
4 Marker Level (ng/mL) 190 <NA> <NA>
5 Median (IQR) <NA> 0.84 (0.24, 1.57) 0.52 (0.19, 1.20)
6 Unknown <NA> 6 4
7 T Stage 200 <NA> <NA>
8 T1 <NA> 28 (29%) 25 (25%)
9 T2 <NA> 25 (26%) 29 (28%)
10 T3 <NA> 22 (22%) 21 (21%)
11 T4 <NA> 23 (23%) 27 (26%)
12 Grade 200 <NA> <NA>
13 I <NA> 35 (36%) 33 (32%)
14 II <NA> 32 (33%) 36 (35%)
15 III <NA> 31 (32%) 33 (32%)
16 Tumor Response 193 28 (29%) 33 (34%)
17 Unknown <NA> 3 4
18 Patient Died 200 52 (53%) 60 (59%)
19 Months to Death/Censor 200 <NA> <NA>
20 Median (IQR) <NA> 23.5 (17.4, 24.0) 21.2 (14.6, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N = 200** **N**
1 Chemotherapy Treatment <NA> 200
2 Drug A 98 (49%) <NA>
3 Drug B 102 (51%) <NA>
4 Age <NA> 189
5 Median (IQR) 47 (38, 57) <NA>
6 Unknown 11 <NA>
7 Marker Level (ng/mL) <NA> 190
8 Median (IQR) 0.64 (0.22, 1.39) <NA>
9 Unknown 10 <NA>
10 T Stage <NA> 200
11 T1 53 (27%) <NA>
12 T2 54 (27%) <NA>
13 T3 43 (22%) <NA>
14 T4 50 (25%) <NA>
15 Grade <NA> 200
16 I 68 (34%) <NA>
17 II 68 (34%) <NA>
18 III 64 (32%) <NA>
19 Tumor Response 61 (32%) 193
20 Unknown 7 <NA>
21 Patient Died 112 (56%) 200
22 Months to Death/Censor <NA> 200
23 Median (IQR) 22.4 (16.0, 24.0) <NA>
Code
res %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **N**
1 Age <NA> <NA> 189
2 Median (IQR) 46 (37, 59) 48 (39, 56) <NA>
3 Unknown 7 4 <NA>
4 Marker Level (ng/mL) <NA> <NA> 190
5 Median (IQR) 0.84 (0.24, 1.57) 0.52 (0.19, 1.20) <NA>
6 Unknown 6 4 <NA>
7 T Stage <NA> <NA> 200
8 T1 28 (29%) 25 (25%) <NA>
9 T2 25 (26%) 29 (28%) <NA>
10 T3 22 (22%) 21 (21%) <NA>
11 T4 23 (23%) 27 (26%) <NA>
12 Grade <NA> <NA> 200
13 I 35 (36%) 33 (32%) <NA>
14 II 32 (33%) 36 (35%) <NA>
15 III 31 (32%) 33 (32%) <NA>
16 Tumor Response 28 (29%) 33 (34%) 193
17 Unknown 3 4 <NA>
18 Patient Died 52 (53%) 60 (59%) 200
19 Months to Death/Censor <NA> <NA> 200
20 Median (IQR) 23.5 (17.4, 24.0) 21.2 (14.6, 24.0) <NA>
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 20020001000 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 20018911955.5 <NA>
5 Median (IQR) <NA> 47 (38, 57)
6 Unknown <NA> 11
7 Marker Level (ng/mL) 20019010955.0 <NA>
8 Median (IQR) <NA> 0.64 (0.22, 1.39)
9 Unknown <NA> 10
10 T Stage 20020001000 <NA>
11 T1 <NA> 53 (27%)
12 T2 <NA> 54 (27%)
13 T3 <NA> 43 (22%)
14 T4 <NA> 50 (25%)
15 Grade 20020001000 <NA>
16 I <NA> 68 (34%)
17 II <NA> 68 (34%)
18 III <NA> 64 (32%)
19 Tumor Response 2001937973.5 61 (32%)
20 Unknown <NA> 7
21 Patient Died 20020001000 112 (56%)
22 Months to Death/Censor 20020001000 <NA>
23 Median (IQR) <NA> 22.4 (16.0, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 20018911955.5 <NA> <NA>
2 Median (IQR) <NA> 46 (37, 59) 48 (39, 56)
3 Unknown <NA> 7 4
4 Marker Level (ng/mL) 20019010955.0 <NA> <NA>
5 Median (IQR) <NA> 0.84 (0.24, 1.57) 0.52 (0.19, 1.20)
6 Unknown <NA> 6 4
7 T Stage 20020001000 <NA> <NA>
8 T1 <NA> 28 (29%) 25 (25%)
9 T2 <NA> 25 (26%) 29 (28%)
10 T3 <NA> 22 (22%) 21 (21%)
11 T4 <NA> 23 (23%) 27 (26%)
12 Grade 20020001000 <NA> <NA>
13 I <NA> 35 (36%) 33 (32%)
14 II <NA> 32 (33%) 36 (35%)
15 III <NA> 31 (32%) 33 (32%)
16 Tumor Response 2001937973.5 28 (29%) 33 (34%)
17 Unknown <NA> 3 4
18 Patient Died 20020001000 52 (53%) 60 (59%)
19 Months to Death/Censor 20020001000 <NA> <NA>
20 Median (IQR) <NA> 23.5 (17.4, 24.0) 21.2 (14.6, 24.0)
no errors/warnings with standard use for tbl_svysummary
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 189 46 (37, 59) 48 (39, 56)
2 Unknown <NA> 7 4
3 Marker Level (ng/mL) 190 0.82 (0.23, 1.55) 0.51 (0.18, 1.20)
4 Unknown <NA> 6 4
5 T Stage 200 <NA> <NA>
6 T1 <NA> 28 (29%) 25 (25%)
7 T2 <NA> 25 (26%) 29 (28%)
8 T3 <NA> 22 (22%) 21 (21%)
9 T4 <NA> 23 (23%) 27 (26%)
10 Grade 200 <NA> <NA>
11 I <NA> 35 (36%) 33 (32%)
12 II <NA> 32 (33%) 36 (35%)
13 III <NA> 31 (32%) 33 (32%)
14 Tumor Response 193 28 (29%) 33 (34%)
15 Unknown <NA> 3 4
16 Patient Died 200 52 (53%) 60 (59%)
17 Months to Death/Censor 200 23.4 (17.2, 24.0) 20.9 (14.5, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **N**
1 Age 46 (37, 59) 48 (39, 56) 189
2 Unknown 7 4 <NA>
3 Marker Level (ng/mL) 0.82 (0.23, 1.55) 0.51 (0.18, 1.20) 190
4 Unknown 6 4 <NA>
5 T Stage <NA> <NA> 200
6 T1 28 (29%) 25 (25%) <NA>
7 T2 25 (26%) 29 (28%) <NA>
8 T3 22 (22%) 21 (21%) <NA>
9 T4 23 (23%) 27 (26%) <NA>
10 Grade <NA> <NA> 200
11 I 35 (36%) 33 (32%) <NA>
12 II 32 (33%) 36 (35%) <NA>
13 III 31 (32%) 33 (32%) <NA>
14 Tumor Response 28 (29%) 33 (34%) 193
15 Unknown 3 4 <NA>
16 Patient Died 52 (53%) 60 (59%) 200
17 Months to Death/Censor 23.4 (17.2, 24.0) 20.9 (14.5, 24.0) 200
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **No**, N = 1,490 **Yes**, N = 711
1 Class 2,2012,20101000 <NA> <NA>
2 1st <NA> 122 (8.2%) 203 (29%)
3 2nd <NA> 167 (11%) 118 (17%)
4 3rd <NA> 528 (35%) 178 (25%)
5 Crew <NA> 673 (45%) 212 (30%)
6 Sex 2,2012,20101000 <NA> <NA>
7 Male <NA> 1,364 (92%) 367 (52%)
8 Female <NA> 126 (8.5%) 344 (48%)
9 Age 2,2012,20101000 <NA> <NA>
10 Child <NA> 52 (3.5%) 57 (8.0%)
11 Adult <NA> 1,438 (97%) 654 (92%)
12 Freq 2,2012,20101000 342 (140, 513) 79 (64, 144)
no errors/warnings with standard use for tbl_svysummary with continuous2
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 189 <NA> <NA>
2 Median (IQR) <NA> 46 (37, 59) 48 (39, 56)
3 Unknown <NA> 7 4
4 Marker Level (ng/mL) 190 <NA> <NA>
5 Median (IQR) <NA> 0.82 (0.23, 1.55) 0.51 (0.18, 1.20)
6 Unknown <NA> 6 4
7 T Stage 200 <NA> <NA>
8 T1 <NA> 28 (29%) 25 (25%)
9 T2 <NA> 25 (26%) 29 (28%)
10 T3 <NA> 22 (22%) 21 (21%)
11 T4 <NA> 23 (23%) 27 (26%)
12 Grade 200 <NA> <NA>
13 I <NA> 35 (36%) 33 (32%)
14 II <NA> 32 (33%) 36 (35%)
15 III <NA> 31 (32%) 33 (32%)
16 Tumor Response 193 28 (29%) 33 (34%)
17 Unknown <NA> 3 4
18 Patient Died 200 52 (53%) 60 (59%)
19 Months to Death/Censor 200 <NA> <NA>
20 Median (IQR) <NA> 23.4 (17.2, 24.0) 20.9 (14.5, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **N**
1 Age <NA> <NA> 189
2 Median (IQR) 46 (37, 59) 48 (39, 56) <NA>
3 Unknown 7 4 <NA>
4 Marker Level (ng/mL) <NA> <NA> 190
5 Median (IQR) 0.82 (0.23, 1.55) 0.51 (0.18, 1.20) <NA>
6 Unknown 6 4 <NA>
7 T Stage <NA> <NA> 200
8 T1 28 (29%) 25 (25%) <NA>
9 T2 25 (26%) 29 (28%) <NA>
10 T3 22 (22%) 21 (21%) <NA>
11 T4 23 (23%) 27 (26%) <NA>
12 Grade <NA> <NA> 200
13 I 35 (36%) 33 (32%) <NA>
14 II 32 (33%) 36 (35%) <NA>
15 III 31 (32%) 33 (32%) <NA>
16 Tumor Response 28 (29%) 33 (34%) 193
17 Unknown 3 4 <NA>
18 Patient Died 52 (53%) 60 (59%) 200
19 Months to Death/Censor <NA> <NA> 200
20 Median (IQR) 23.4 (17.2, 24.0) 20.9 (14.5, 24.0) <NA>
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **No**, N = 1,490 **Yes**, N = 711
1 Class 2,2012,20101000 <NA> <NA>
2 1st <NA> 122 (8.2%) 203 (29%)
3 2nd <NA> 167 (11%) 118 (17%)
4 3rd <NA> 528 (35%) 178 (25%)
5 Crew <NA> 673 (45%) 212 (30%)
6 Sex 2,2012,20101000 <NA> <NA>
7 Male <NA> 1,364 (92%) 367 (52%)
8 Female <NA> 126 (8.5%) 344 (48%)
9 Age 2,2012,20101000 <NA> <NA>
10 Child <NA> 52 (3.5%) 57 (8.0%)
11 Adult <NA> 1,438 (97%) 654 (92%)
12 Freq 2,2012,20101000 <NA> <NA>
13 Median (IQR) <NA> 342 (140, 513) 79 (64, 144)
add_n.tbl_survfit
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Time 12** **Time 24**
1 Overall 200 89% (84%, 93%) 44% (38%, 51%)
2 Chemotherapy Treatment 200 <NA> <NA>
3 Drug A <NA> 91% (85%, 97%) 47% (38%, 58%)
4 Drug B <NA> 86% (80%, 93%) 41% (33%, 52%)
add_n.tbl_regression
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Grade 183 <NA> <NA> <NA>
2 I <NA> <NA> <NA> <NA>
3 II <NA> -0.16 -0.94, 0.61 0.7
4 III <NA> 0.01 -0.74, 0.77 >0.9
5 Age 183 0.02 0.00, 0.04 0.10
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Grade <NA> <NA> <NA> <NA>
2 I 65 <NA> <NA> <NA>
3 II 58 -0.16 -0.94, 0.61 0.7
4 III 60 0.01 -0.74, 0.77 >0.9
5 Age 183 0.02 0.00, 0.04 0.10
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Grade 183 <NA> <NA> <NA>
2 I 65 <NA> <NA> <NA>
3 II 58 -0.16 -0.94, 0.61 0.7
4 III 60 0.01 -0.74, 0.77 >0.9
5 Age 183 0.02 0.00, 0.04 0.10
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Age 183 0.02 0.00, 0.04 0.10
2 Grade 193 <NA> <NA> <NA>
3 I <NA> <NA> <NA> <NA>
4 II <NA> -0.06 -0.81, 0.69 0.9
5 III <NA> 0.09 -0.65, 0.83 0.8
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Age 183 0.02 0.00, 0.04 0.10
2 Grade <NA> <NA> <NA> <NA>
3 I 67 <NA> <NA> <NA>
4 II 63 -0.06 -0.81, 0.69 0.9
5 III 63 0.09 -0.65, 0.83 0.8
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Age 183 0.02 0.00, 0.04 0.10
2 Grade 193 <NA> <NA> <NA>
3 I 67 <NA> <NA> <NA>
4 II 63 -0.06 -0.81, 0.69 0.9
5 III 63 0.09 -0.65, 0.83 0.8
Try the gtsummary package in your browser
Any scripts or data that you put into this service are public.
gtsummary documentation built on July 26, 2023, 5:27 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
no errors/warnings with standard use
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 200 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 189 47 (38, 57)
5 Unknown <NA> 11
6 Marker Level (ng/mL) 190 0.64 (0.22, 1.39)
7 Unknown <NA> 10
8 T Stage 200 <NA>
9 T1 <NA> 53 (27%)
10 T2 <NA> 54 (27%)
11 T3 <NA> 43 (22%)
12 T4 <NA> 50 (25%)
13 Grade 200 <NA>
14 I <NA> 68 (34%)
15 II <NA> 68 (34%)
16 III <NA> 64 (32%)
17 Tumor Response 193 61 (32%)
18 Unknown <NA> 7
19 Patient Died 200 112 (56%)
20 Months to Death/Censor 200 22.4 (16.0, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 189 46 (37, 59) 48 (39, 56)
2 Unknown <NA> 7 4
3 Marker Level (ng/mL) 190 0.84 (0.24, 1.57) 0.52 (0.19, 1.20)
4 Unknown <NA> 6 4
5 T Stage 200 <NA> <NA>
6 T1 <NA> 28 (29%) 25 (25%)
7 T2 <NA> 25 (26%) 29 (28%)
8 T3 <NA> 22 (22%) 21 (21%)
9 T4 <NA> 23 (23%) 27 (26%)
10 Grade 200 <NA> <NA>
11 I <NA> 35 (36%) 33 (32%)
12 II <NA> 32 (33%) 36 (35%)
13 III <NA> 31 (32%) 33 (32%)
14 Tumor Response 193 28 (29%) 33 (34%)
15 Unknown <NA> 3 4
16 Patient Died 200 52 (53%) 60 (59%)
17 Months to Death/Censor 200 23.5 (17.4, 24.0) 21.2 (14.6, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N = 200** **N**
1 Chemotherapy Treatment <NA> 200
2 Drug A 98 (49%) <NA>
3 Drug B 102 (51%) <NA>
4 Age 47 (38, 57) 189
5 Unknown 11 <NA>
6 Marker Level (ng/mL) 0.64 (0.22, 1.39) 190
7 Unknown 10 <NA>
8 T Stage <NA> 200
9 T1 53 (27%) <NA>
10 T2 54 (27%) <NA>
11 T3 43 (22%) <NA>
12 T4 50 (25%) <NA>
13 Grade <NA> 200
14 I 68 (34%) <NA>
15 II 68 (34%) <NA>
16 III 64 (32%) <NA>
17 Tumor Response 61 (32%) 193
18 Unknown 7 <NA>
19 Patient Died 112 (56%) 200
20 Months to Death/Censor 22.4 (16.0, 24.0) 200
Code
res %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **N**
1 Age 46 (37, 59) 48 (39, 56) 189
2 Unknown 7 4 <NA>
3 Marker Level (ng/mL) 0.84 (0.24, 1.57) 0.52 (0.19, 1.20) 190
4 Unknown 6 4 <NA>
5 T Stage <NA> <NA> 200
6 T1 28 (29%) 25 (25%) <NA>
7 T2 25 (26%) 29 (28%) <NA>
8 T3 22 (22%) 21 (21%) <NA>
9 T4 23 (23%) 27 (26%) <NA>
10 Grade <NA> <NA> 200
11 I 35 (36%) 33 (32%) <NA>
12 II 32 (33%) 36 (35%) <NA>
13 III 31 (32%) 33 (32%) <NA>
14 Tumor Response 28 (29%) 33 (34%) 193
15 Unknown 3 4 <NA>
16 Patient Died 52 (53%) 60 (59%) 200
17 Months to Death/Censor 23.5 (17.4, 24.0) 21.2 (14.6, 24.0) 200
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 20020001000 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 20018911955.5 47 (38, 57)
5 Unknown <NA> 11
6 Marker Level (ng/mL) 20019010955.0 0.64 (0.22, 1.39)
7 Unknown <NA> 10
8 T Stage 20020001000 <NA>
9 T1 <NA> 53 (27%)
10 T2 <NA> 54 (27%)
11 T3 <NA> 43 (22%)
12 T4 <NA> 50 (25%)
13 Grade 20020001000 <NA>
14 I <NA> 68 (34%)
15 II <NA> 68 (34%)
16 III <NA> 64 (32%)
17 Tumor Response 2001937973.5 61 (32%)
18 Unknown <NA> 7
19 Patient Died 20020001000 112 (56%)
20 Months to Death/Censor 20020001000 22.4 (16.0, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 20020001000 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 20018911955.5 47 (38, 57)
5 Unknown <NA> 11
6 Marker Level (ng/mL) 20019010955.0 0.64 (0.22, 1.39)
7 Unknown <NA> 10
8 T Stage 20020001000 <NA>
9 T1 <NA> 53 (27%)
10 T2 <NA> 54 (27%)
11 T3 <NA> 43 (22%)
12 T4 <NA> 50 (25%)
13 Grade 20020001000 <NA>
14 I <NA> 68 (34%)
15 II <NA> 68 (34%)
16 III <NA> 64 (32%)
17 Tumor Response 2001937973.5 61 (32%)
18 Unknown <NA> 7
19 Patient Died 20020001000 112 (56%)
20 Months to Death/Censor 20020001000 22.4 (16.0, 24.0)
no errors/warnings with standard use with continuous2
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 200 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 189 <NA>
5 Median (IQR) <NA> 47 (38, 57)
6 Unknown <NA> 11
7 Marker Level (ng/mL) 190 <NA>
8 Median (IQR) <NA> 0.64 (0.22, 1.39)
9 Unknown <NA> 10
10 T Stage 200 <NA>
11 T1 <NA> 53 (27%)
12 T2 <NA> 54 (27%)
13 T3 <NA> 43 (22%)
14 T4 <NA> 50 (25%)
15 Grade 200 <NA>
16 I <NA> 68 (34%)
17 II <NA> 68 (34%)
18 III <NA> 64 (32%)
19 Tumor Response 193 61 (32%)
20 Unknown <NA> 7
21 Patient Died 200 112 (56%)
22 Months to Death/Censor 200 <NA>
23 Median (IQR) <NA> 22.4 (16.0, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 189 <NA> <NA>
2 Median (IQR) <NA> 46 (37, 59) 48 (39, 56)
3 Unknown <NA> 7 4
4 Marker Level (ng/mL) 190 <NA> <NA>
5 Median (IQR) <NA> 0.84 (0.24, 1.57) 0.52 (0.19, 1.20)
6 Unknown <NA> 6 4
7 T Stage 200 <NA> <NA>
8 T1 <NA> 28 (29%) 25 (25%)
9 T2 <NA> 25 (26%) 29 (28%)
10 T3 <NA> 22 (22%) 21 (21%)
11 T4 <NA> 23 (23%) 27 (26%)
12 Grade 200 <NA> <NA>
13 I <NA> 35 (36%) 33 (32%)
14 II <NA> 32 (33%) 36 (35%)
15 III <NA> 31 (32%) 33 (32%)
16 Tumor Response 193 28 (29%) 33 (34%)
17 Unknown <NA> 3 4
18 Patient Died 200 52 (53%) 60 (59%)
19 Months to Death/Censor 200 <NA> <NA>
20 Median (IQR) <NA> 23.5 (17.4, 24.0) 21.2 (14.6, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N = 200** **N**
1 Chemotherapy Treatment <NA> 200
2 Drug A 98 (49%) <NA>
3 Drug B 102 (51%) <NA>
4 Age <NA> 189
5 Median (IQR) 47 (38, 57) <NA>
6 Unknown 11 <NA>
7 Marker Level (ng/mL) <NA> 190
8 Median (IQR) 0.64 (0.22, 1.39) <NA>
9 Unknown 10 <NA>
10 T Stage <NA> 200
11 T1 53 (27%) <NA>
12 T2 54 (27%) <NA>
13 T3 43 (22%) <NA>
14 T4 50 (25%) <NA>
15 Grade <NA> 200
16 I 68 (34%) <NA>
17 II 68 (34%) <NA>
18 III 64 (32%) <NA>
19 Tumor Response 61 (32%) 193
20 Unknown 7 <NA>
21 Patient Died 112 (56%) 200
22 Months to Death/Censor <NA> 200
23 Median (IQR) 22.4 (16.0, 24.0) <NA>
Code
res %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **N**
1 Age <NA> <NA> 189
2 Median (IQR) 46 (37, 59) 48 (39, 56) <NA>
3 Unknown 7 4 <NA>
4 Marker Level (ng/mL) <NA> <NA> 190
5 Median (IQR) 0.84 (0.24, 1.57) 0.52 (0.19, 1.20) <NA>
6 Unknown 6 4 <NA>
7 T Stage <NA> <NA> 200
8 T1 28 (29%) 25 (25%) <NA>
9 T2 25 (26%) 29 (28%) <NA>
10 T3 22 (22%) 21 (21%) <NA>
11 T4 23 (23%) 27 (26%) <NA>
12 Grade <NA> <NA> 200
13 I 35 (36%) 33 (32%) <NA>
14 II 32 (33%) 36 (35%) <NA>
15 III 31 (32%) 33 (32%) <NA>
16 Tumor Response 28 (29%) 33 (34%) 193
17 Unknown 3 4 <NA>
18 Patient Died 52 (53%) 60 (59%) 200
19 Months to Death/Censor <NA> <NA> 200
20 Median (IQR) 23.5 (17.4, 24.0) 21.2 (14.6, 24.0) <NA>
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **N = 200**
1 Chemotherapy Treatment 20020001000 <NA>
2 Drug A <NA> 98 (49%)
3 Drug B <NA> 102 (51%)
4 Age 20018911955.5 <NA>
5 Median (IQR) <NA> 47 (38, 57)
6 Unknown <NA> 11
7 Marker Level (ng/mL) 20019010955.0 <NA>
8 Median (IQR) <NA> 0.64 (0.22, 1.39)
9 Unknown <NA> 10
10 T Stage 20020001000 <NA>
11 T1 <NA> 53 (27%)
12 T2 <NA> 54 (27%)
13 T3 <NA> 43 (22%)
14 T4 <NA> 50 (25%)
15 Grade 20020001000 <NA>
16 I <NA> 68 (34%)
17 II <NA> 68 (34%)
18 III <NA> 64 (32%)
19 Tumor Response 2001937973.5 61 (32%)
20 Unknown <NA> 7
21 Patient Died 20020001000 112 (56%)
22 Months to Death/Censor 20020001000 <NA>
23 Median (IQR) <NA> 22.4 (16.0, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 20018911955.5 <NA> <NA>
2 Median (IQR) <NA> 46 (37, 59) 48 (39, 56)
3 Unknown <NA> 7 4
4 Marker Level (ng/mL) 20019010955.0 <NA> <NA>
5 Median (IQR) <NA> 0.84 (0.24, 1.57) 0.52 (0.19, 1.20)
6 Unknown <NA> 6 4
7 T Stage 20020001000 <NA> <NA>
8 T1 <NA> 28 (29%) 25 (25%)
9 T2 <NA> 25 (26%) 29 (28%)
10 T3 <NA> 22 (22%) 21 (21%)
11 T4 <NA> 23 (23%) 27 (26%)
12 Grade 20020001000 <NA> <NA>
13 I <NA> 35 (36%) 33 (32%)
14 II <NA> 32 (33%) 36 (35%)
15 III <NA> 31 (32%) 33 (32%)
16 Tumor Response 2001937973.5 28 (29%) 33 (34%)
17 Unknown <NA> 3 4
18 Patient Died 20020001000 52 (53%) 60 (59%)
19 Months to Death/Censor 20020001000 <NA> <NA>
20 Median (IQR) <NA> 23.5 (17.4, 24.0) 21.2 (14.6, 24.0)
no errors/warnings with standard use for tbl_svysummary
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 189 46 (37, 59) 48 (39, 56)
2 Unknown <NA> 7 4
3 Marker Level (ng/mL) 190 0.82 (0.23, 1.55) 0.51 (0.18, 1.20)
4 Unknown <NA> 6 4
5 T Stage 200 <NA> <NA>
6 T1 <NA> 28 (29%) 25 (25%)
7 T2 <NA> 25 (26%) 29 (28%)
8 T3 <NA> 22 (22%) 21 (21%)
9 T4 <NA> 23 (23%) 27 (26%)
10 Grade 200 <NA> <NA>
11 I <NA> 35 (36%) 33 (32%)
12 II <NA> 32 (33%) 36 (35%)
13 III <NA> 31 (32%) 33 (32%)
14 Tumor Response 193 28 (29%) 33 (34%)
15 Unknown <NA> 3 4
16 Patient Died 200 52 (53%) 60 (59%)
17 Months to Death/Censor 200 23.4 (17.2, 24.0) 20.9 (14.5, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **N**
1 Age 46 (37, 59) 48 (39, 56) 189
2 Unknown 7 4 <NA>
3 Marker Level (ng/mL) 0.82 (0.23, 1.55) 0.51 (0.18, 1.20) 190
4 Unknown 6 4 <NA>
5 T Stage <NA> <NA> 200
6 T1 28 (29%) 25 (25%) <NA>
7 T2 25 (26%) 29 (28%) <NA>
8 T3 22 (22%) 21 (21%) <NA>
9 T4 23 (23%) 27 (26%) <NA>
10 Grade <NA> <NA> 200
11 I 35 (36%) 33 (32%) <NA>
12 II 32 (33%) 36 (35%) <NA>
13 III 31 (32%) 33 (32%) <NA>
14 Tumor Response 28 (29%) 33 (34%) 193
15 Unknown 3 4 <NA>
16 Patient Died 52 (53%) 60 (59%) 200
17 Months to Death/Censor 23.4 (17.2, 24.0) 20.9 (14.5, 24.0) 200
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **No**, N = 1,490 **Yes**, N = 711
1 Class 2,2012,20101000 <NA> <NA>
2 1st <NA> 122 (8.2%) 203 (29%)
3 2nd <NA> 167 (11%) 118 (17%)
4 3rd <NA> 528 (35%) 178 (25%)
5 Crew <NA> 673 (45%) 212 (30%)
6 Sex 2,2012,20101000 <NA> <NA>
7 Male <NA> 1,364 (92%) 367 (52%)
8 Female <NA> 126 (8.5%) 344 (48%)
9 Age 2,2012,20101000 <NA> <NA>
10 Child <NA> 52 (3.5%) 57 (8.0%)
11 Adult <NA> 1,438 (97%) 654 (92%)
12 Freq 2,2012,20101000 342 (140, 513) 79 (64, 144)
no errors/warnings with standard use for tbl_svysummary with continuous2
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Drug A**, N = 98 **Drug B**, N = 102
1 Age 189 <NA> <NA>
2 Median (IQR) <NA> 46 (37, 59) 48 (39, 56)
3 Unknown <NA> 7 4
4 Marker Level (ng/mL) 190 <NA> <NA>
5 Median (IQR) <NA> 0.82 (0.23, 1.55) 0.51 (0.18, 1.20)
6 Unknown <NA> 6 4
7 T Stage 200 <NA> <NA>
8 T1 <NA> 28 (29%) 25 (25%)
9 T2 <NA> 25 (26%) 29 (28%)
10 T3 <NA> 22 (22%) 21 (21%)
11 T4 <NA> 23 (23%) 27 (26%)
12 Grade 200 <NA> <NA>
13 I <NA> 35 (36%) 33 (32%)
14 II <NA> 32 (33%) 36 (35%)
15 III <NA> 31 (32%) 33 (32%)
16 Tumor Response 193 28 (29%) 33 (34%)
17 Unknown <NA> 3 4
18 Patient Died 200 52 (53%) 60 (59%)
19 Months to Death/Censor 200 <NA> <NA>
20 Median (IQR) <NA> 23.4 (17.2, 24.0) 20.9 (14.5, 24.0)
Code
res %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **N**
1 Age <NA> <NA> 189
2 Median (IQR) 46 (37, 59) 48 (39, 56) <NA>
3 Unknown 7 4 <NA>
4 Marker Level (ng/mL) <NA> <NA> 190
5 Median (IQR) 0.82 (0.23, 1.55) 0.51 (0.18, 1.20) <NA>
6 Unknown 6 4 <NA>
7 T Stage <NA> <NA> 200
8 T1 28 (29%) 25 (25%) <NA>
9 T2 25 (26%) 29 (28%) <NA>
10 T3 22 (22%) 21 (21%) <NA>
11 T4 23 (23%) 27 (26%) <NA>
12 Grade <NA> <NA> 200
13 I 35 (36%) 33 (32%) <NA>
14 II 32 (33%) 36 (35%) <NA>
15 III 31 (32%) 33 (32%) <NA>
16 Tumor Response 28 (29%) 33 (34%) 193
17 Unknown 3 4 <NA>
18 Patient Died 52 (53%) 60 (59%) 200
19 Months to Death/Censor <NA> <NA> 200
20 Median (IQR) 23.4 (17.2, 24.0) 20.9 (14.5, 24.0) <NA>
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **No**, N = 1,490 **Yes**, N = 711
1 Class 2,2012,20101000 <NA> <NA>
2 1st <NA> 122 (8.2%) 203 (29%)
3 2nd <NA> 167 (11%) 118 (17%)
4 3rd <NA> 528 (35%) 178 (25%)
5 Crew <NA> 673 (45%) 212 (30%)
6 Sex 2,2012,20101000 <NA> <NA>
7 Male <NA> 1,364 (92%) 367 (52%)
8 Female <NA> 126 (8.5%) 344 (48%)
9 Age 2,2012,20101000 <NA> <NA>
10 Child <NA> 52 (3.5%) 57 (8.0%)
11 Adult <NA> 1,438 (97%) 654 (92%)
12 Freq 2,2012,20101000 <NA> <NA>
13 Median (IQR) <NA> 342 (140, 513) 79 (64, 144)
add_n.tbl_survfit
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **Time 12** **Time 24**
1 Overall 200 89% (84%, 93%) 44% (38%, 51%)
2 Chemotherapy Treatment 200 <NA> <NA>
3 Drug A <NA> 91% (85%, 97%) 47% (38%, 58%)
4 Drug B <NA> 86% (80%, 93%) 41% (33%, 52%)
add_n.tbl_regression
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Grade 183 <NA> <NA> <NA>
2 I <NA> <NA> <NA> <NA>
3 II <NA> -0.16 -0.94, 0.61 0.7
4 III <NA> 0.01 -0.74, 0.77 >0.9
5 Age 183 0.02 0.00, 0.04 0.10
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Grade <NA> <NA> <NA> <NA>
2 I 65 <NA> <NA> <NA>
3 II 58 -0.16 -0.94, 0.61 0.7
4 III 60 0.01 -0.74, 0.77 >0.9
5 Age 183 0.02 0.00, 0.04 0.10
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Grade 183 <NA> <NA> <NA>
2 I 65 <NA> <NA> <NA>
3 II 58 -0.16 -0.94, 0.61 0.7
4 III 60 0.01 -0.74, 0.77 >0.9
5 Age 183 0.02 0.00, 0.04 0.10
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Age 183 0.02 0.00, 0.04 0.10
2 Grade 193 <NA> <NA> <NA>
3 I <NA> <NA> <NA> <NA>
4 II <NA> -0.06 -0.81, 0.69 0.9
5 III <NA> 0.09 -0.65, 0.83 0.8
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Age 183 0.02 0.00, 0.04 0.10
2 Grade <NA> <NA> <NA> <NA>
3 I 67 <NA> <NA> <NA>
4 II 63 -0.06 -0.81, 0.69 0.9
5 III 63 0.09 -0.65, 0.83 0.8
Code
res %>% as.data.frame()
Output
**Characteristic** **N** **log(OR)** **95% CI** **p-value**
1 Age 183 0.02 0.00, 0.04 0.10
2 Grade 193 <NA> <NA> <NA>
3 I 67 <NA> <NA> <NA>
4 II 63 -0.06 -0.81, 0.69 0.9
5 III 63 0.09 -0.65, 0.83 0.8
Try the gtsummary package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.