Nothing
tests/testthat/_snaps/add_p.tbl_svysummary.md
In gtsummary: Presentation-Ready Data Summary and Analytic Result Tables
add_p creates output without error/warning
Code
tbl_svysummary(strial, by = grade) %>% add_p() %>% as.data.frame()
Output
**Characteristic** **I**, N = 68 **II**, N = 68 **III**, N = 64
1 Chemotherapy Treatment <NA> <NA> <NA>
2 Drug A 35 (51%) 32 (47%) 31 (48%)
3 Drug B 33 (49%) 36 (53%) 33 (52%)
4 Age 47 (37, 56) 48 (36, 57) 47 (38, 58)
5 Unknown 2 6 3
6 Marker Level (ng/mL) 0.98 (0.24, 1.58) 0.37 (0.14, 1.09) 0.61 (0.26, 1.67)
7 Unknown 2 5 3
8 T Stage <NA> <NA> <NA>
9 T1 17 (25%) 23 (34%) 13 (20%)
10 T2 18 (26%) 17 (25%) 19 (30%)
11 T3 18 (26%) 11 (16%) 14 (22%)
12 T4 15 (22%) 17 (25%) 18 (28%)
13 Tumor Response 21 (31%) 19 (30%) 21 (33%)
14 Unknown 1 5 1
15 Patient Died 33 (49%) 36 (53%) 43 (67%)
16 Months to Death/Censor 24.0 (17.8, 24.0) 21.6 (13.0, 24.0) 19.5 (15.8, 24.0)
**p-value**
1 0.9
2 <NA>
3 <NA>
4 0.8
5 <NA>
6 0.016
7 <NA>
8 0.6
9 <NA>
10 <NA>
11 <NA>
12 <NA>
13 >0.9
14 <NA>
15 0.082
16 0.040
Code
strial %>% tbl_svysummary(by = trt) %>% add_p() %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **p-value**
1 Age 46 (37, 59) 48 (39, 56) 0.7
2 Unknown 7 4 <NA>
3 Marker Level (ng/mL) 0.82 (0.23, 1.55) 0.51 (0.18, 1.20) 0.084
4 Unknown 6 4 <NA>
5 T Stage <NA> <NA> 0.9
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> 0.9
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%) 0.5
15 Unknown 3 4 <NA>
16 Patient Died 52 (53%) 60 (59%) 0.4
17 Months to Death/Censor 23.4 (17.2, 24.0) 20.9 (14.5, 24.0) 0.14
add_p creates output without error/warning with continuous2
Code
tbl_svysummary(strial, by = grade, type = all_continuous() ~ "continuous2") %>%
add_p() %>% as.data.frame()
Output
**Characteristic** **I**, N = 68 **II**, N = 68 **III**, N = 64
1 Chemotherapy Treatment <NA> <NA> <NA>
2 Drug A 35 (51%) 32 (47%) 31 (48%)
3 Drug B 33 (49%) 36 (53%) 33 (52%)
4 Age <NA> <NA> <NA>
5 Median (IQR) 47 (37, 56) 48 (36, 57) 47 (38, 58)
6 Unknown 2 6 3
7 Marker Level (ng/mL) <NA> <NA> <NA>
8 Median (IQR) 0.98 (0.24, 1.58) 0.37 (0.14, 1.09) 0.61 (0.26, 1.67)
9 Unknown 2 5 3
10 T Stage <NA> <NA> <NA>
11 T1 17 (25%) 23 (34%) 13 (20%)
12 T2 18 (26%) 17 (25%) 19 (30%)
13 T3 18 (26%) 11 (16%) 14 (22%)
14 T4 15 (22%) 17 (25%) 18 (28%)
15 Tumor Response 21 (31%) 19 (30%) 21 (33%)
16 Unknown 1 5 1
17 Patient Died 33 (49%) 36 (53%) 43 (67%)
18 Months to Death/Censor <NA> <NA> <NA>
19 Median (IQR) 24.0 (17.8, 24.0) 21.6 (13.0, 24.0) 19.5 (15.8, 24.0)
**p-value**
1 0.9
2 <NA>
3 <NA>
4 0.8
5 <NA>
6 <NA>
7 0.016
8 <NA>
9 <NA>
10 0.6
11 <NA>
12 <NA>
13 <NA>
14 <NA>
15 >0.9
16 <NA>
17 0.082
18 0.040
19 <NA>
Code
strial %>% tbl_svysummary(by = trt, type = all_continuous() ~ "continuous2") %>%
add_p() %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **p-value**
1 Age <NA> <NA> 0.7
2 Median (IQR) 46 (37, 59) 48 (39, 56) <NA>
3 Unknown 7 4 <NA>
4 Marker Level (ng/mL) <NA> <NA> 0.084
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> 0.9
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> 0.9
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%) 0.5
17 Unknown 3 4 <NA>
18 Patient Died 52 (53%) 60 (59%) 0.4
19 Months to Death/Censor <NA> <NA> 0.14
20 Median (IQR) 23.4 (17.2, 24.0) 20.9 (14.5, 24.0) <NA>
add_p works well
Code
tbl1 %>% as.data.frame()
Output
**Characteristic** **0**, N = 132 **1**, N = 61 **p-value**
1 Chemotherapy Treatment <NA> <NA> 0.5
2 Drug A 67 (51%) 28 (46%) <NA>
3 Drug B 65 (49%) 33 (54%) <NA>
4 Age 46 (36, 55) 49 (42, 59) 0.090
5 Unknown 7 3 <NA>
6 Marker Level (ng/mL) 0.59 (0.19, 1.23) 0.90 (0.29, 1.52) 0.10
7 Unknown 6 4 <NA>
8 T Stage <NA> <NA> 0.6
9 T1 34 (26%) 18 (30%) <NA>
10 T2 39 (30%) 13 (21%) <NA>
11 T3 25 (19%) 15 (25%) <NA>
12 T4 34 (26%) 15 (25%) <NA>
13 Grade <NA> <NA> >0.9
14 I 46 (35%) 21 (34%) <NA>
15 II 44 (33%) 19 (31%) <NA>
16 III 42 (32%) 21 (34%) <NA>
17 Patient Died 83 (63%) 24 (39%) 0.002
18 Months to Death/Censor 20.4 (14.8, 24.0) 24.0 (17.9, 24.0) <0.001
Code
tbl2 %>% as.data.frame()
Output
**Characteristic** **0**, N = 132 **1**, N = 61 **p-value**
1 Chemotherapy Treatment <NA> <NA> 0.5
2 Drug A 67 (51%) 28 (46%) <NA>
3 Drug B 65 (49%) 33 (54%) <NA>
4 Age 46 (36, 55) 49 (42, 59) 0.081
5 Unknown 7 3 <NA>
6 Marker Level (ng/mL) 0.59 (0.19, 1.23) 0.90 (0.29, 1.52) 0.2
7 Unknown 6 4 <NA>
8 T Stage <NA> <NA> 0.6
9 T1 34 (26%) 18 (30%) <NA>
10 T2 39 (30%) 13 (21%) <NA>
11 T3 25 (19%) 15 (25%) <NA>
12 T4 34 (26%) 15 (25%) <NA>
13 Grade <NA> <NA> >0.9
14 I 46 (35%) 21 (34%) <NA>
15 II 44 (33%) 19 (31%) <NA>
16 III 42 (32%) 21 (34%) <NA>
17 Patient Died 83 (63%) 24 (39%) 0.003
18 Months to Death/Censor 20.4 (14.8, 24.0) 24.0 (17.9, 24.0) <0.001
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.
add_p creates output without error/warning
Code
tbl_svysummary(strial, by = grade) %>% add_p() %>% as.data.frame()
Output
**Characteristic** **I**, N = 68 **II**, N = 68 **III**, N = 64
1 Chemotherapy Treatment <NA> <NA> <NA>
2 Drug A 35 (51%) 32 (47%) 31 (48%)
3 Drug B 33 (49%) 36 (53%) 33 (52%)
4 Age 47 (37, 56) 48 (36, 57) 47 (38, 58)
5 Unknown 2 6 3
6 Marker Level (ng/mL) 0.98 (0.24, 1.58) 0.37 (0.14, 1.09) 0.61 (0.26, 1.67)
7 Unknown 2 5 3
8 T Stage <NA> <NA> <NA>
9 T1 17 (25%) 23 (34%) 13 (20%)
10 T2 18 (26%) 17 (25%) 19 (30%)
11 T3 18 (26%) 11 (16%) 14 (22%)
12 T4 15 (22%) 17 (25%) 18 (28%)
13 Tumor Response 21 (31%) 19 (30%) 21 (33%)
14 Unknown 1 5 1
15 Patient Died 33 (49%) 36 (53%) 43 (67%)
16 Months to Death/Censor 24.0 (17.8, 24.0) 21.6 (13.0, 24.0) 19.5 (15.8, 24.0)
**p-value**
1 0.9
2 <NA>
3 <NA>
4 0.8
5 <NA>
6 0.016
7 <NA>
8 0.6
9 <NA>
10 <NA>
11 <NA>
12 <NA>
13 >0.9
14 <NA>
15 0.082
16 0.040
Code
strial %>% tbl_svysummary(by = trt) %>% add_p() %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **p-value**
1 Age 46 (37, 59) 48 (39, 56) 0.7
2 Unknown 7 4 <NA>
3 Marker Level (ng/mL) 0.82 (0.23, 1.55) 0.51 (0.18, 1.20) 0.084
4 Unknown 6 4 <NA>
5 T Stage <NA> <NA> 0.9
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> 0.9
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%) 0.5
15 Unknown 3 4 <NA>
16 Patient Died 52 (53%) 60 (59%) 0.4
17 Months to Death/Censor 23.4 (17.2, 24.0) 20.9 (14.5, 24.0) 0.14
add_p creates output without error/warning with continuous2
Code
tbl_svysummary(strial, by = grade, type = all_continuous() ~ "continuous2") %>%
add_p() %>% as.data.frame()
Output
**Characteristic** **I**, N = 68 **II**, N = 68 **III**, N = 64
1 Chemotherapy Treatment <NA> <NA> <NA>
2 Drug A 35 (51%) 32 (47%) 31 (48%)
3 Drug B 33 (49%) 36 (53%) 33 (52%)
4 Age <NA> <NA> <NA>
5 Median (IQR) 47 (37, 56) 48 (36, 57) 47 (38, 58)
6 Unknown 2 6 3
7 Marker Level (ng/mL) <NA> <NA> <NA>
8 Median (IQR) 0.98 (0.24, 1.58) 0.37 (0.14, 1.09) 0.61 (0.26, 1.67)
9 Unknown 2 5 3
10 T Stage <NA> <NA> <NA>
11 T1 17 (25%) 23 (34%) 13 (20%)
12 T2 18 (26%) 17 (25%) 19 (30%)
13 T3 18 (26%) 11 (16%) 14 (22%)
14 T4 15 (22%) 17 (25%) 18 (28%)
15 Tumor Response 21 (31%) 19 (30%) 21 (33%)
16 Unknown 1 5 1
17 Patient Died 33 (49%) 36 (53%) 43 (67%)
18 Months to Death/Censor <NA> <NA> <NA>
19 Median (IQR) 24.0 (17.8, 24.0) 21.6 (13.0, 24.0) 19.5 (15.8, 24.0)
**p-value**
1 0.9
2 <NA>
3 <NA>
4 0.8
5 <NA>
6 <NA>
7 0.016
8 <NA>
9 <NA>
10 0.6
11 <NA>
12 <NA>
13 <NA>
14 <NA>
15 >0.9
16 <NA>
17 0.082
18 0.040
19 <NA>
Code
strial %>% tbl_svysummary(by = trt, type = all_continuous() ~ "continuous2") %>%
add_p() %>% as.data.frame()
Output
**Characteristic** **Drug A**, N = 98 **Drug B**, N = 102 **p-value**
1 Age <NA> <NA> 0.7
2 Median (IQR) 46 (37, 59) 48 (39, 56) <NA>
3 Unknown 7 4 <NA>
4 Marker Level (ng/mL) <NA> <NA> 0.084
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> 0.9
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> 0.9
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%) 0.5
17 Unknown 3 4 <NA>
18 Patient Died 52 (53%) 60 (59%) 0.4
19 Months to Death/Censor <NA> <NA> 0.14
20 Median (IQR) 23.4 (17.2, 24.0) 20.9 (14.5, 24.0) <NA>
add_p works well
Code
tbl1 %>% as.data.frame()
Output
**Characteristic** **0**, N = 132 **1**, N = 61 **p-value**
1 Chemotherapy Treatment <NA> <NA> 0.5
2 Drug A 67 (51%) 28 (46%) <NA>
3 Drug B 65 (49%) 33 (54%) <NA>
4 Age 46 (36, 55) 49 (42, 59) 0.090
5 Unknown 7 3 <NA>
6 Marker Level (ng/mL) 0.59 (0.19, 1.23) 0.90 (0.29, 1.52) 0.10
7 Unknown 6 4 <NA>
8 T Stage <NA> <NA> 0.6
9 T1 34 (26%) 18 (30%) <NA>
10 T2 39 (30%) 13 (21%) <NA>
11 T3 25 (19%) 15 (25%) <NA>
12 T4 34 (26%) 15 (25%) <NA>
13 Grade <NA> <NA> >0.9
14 I 46 (35%) 21 (34%) <NA>
15 II 44 (33%) 19 (31%) <NA>
16 III 42 (32%) 21 (34%) <NA>
17 Patient Died 83 (63%) 24 (39%) 0.002
18 Months to Death/Censor 20.4 (14.8, 24.0) 24.0 (17.9, 24.0) <0.001
Code
tbl2 %>% as.data.frame()
Output
**Characteristic** **0**, N = 132 **1**, N = 61 **p-value**
1 Chemotherapy Treatment <NA> <NA> 0.5
2 Drug A 67 (51%) 28 (46%) <NA>
3 Drug B 65 (49%) 33 (54%) <NA>
4 Age 46 (36, 55) 49 (42, 59) 0.081
5 Unknown 7 3 <NA>
6 Marker Level (ng/mL) 0.59 (0.19, 1.23) 0.90 (0.29, 1.52) 0.2
7 Unknown 6 4 <NA>
8 T Stage <NA> <NA> 0.6
9 T1 34 (26%) 18 (30%) <NA>
10 T2 39 (30%) 13 (21%) <NA>
11 T3 25 (19%) 15 (25%) <NA>
12 T4 34 (26%) 15 (25%) <NA>
13 Grade <NA> <NA> >0.9
14 I 46 (35%) 21 (34%) <NA>
15 II 44 (33%) 19 (31%) <NA>
16 III 42 (32%) 21 (34%) <NA>
17 Patient Died 83 (63%) 24 (39%) 0.003
18 Months to Death/Censor 20.4 (14.8, 24.0) 24.0 (17.9, 24.0) <0.001
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.