tests/testthat/_snaps/options.md
In DanChaltiel/crosstable: Crosstables for Descriptive Analyses
All options work
Code
as.data.frame(ct_noopt)
Output
.id label variable straight vshaped NA effect test
1 cyl Number of cylinders 4 7 (87.50%) 1 (12.50%) 2 Odds ratio [95% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0 to NA]\n8 vs 4: 5.98e+09 [2.27e-200 to NA] p value: 0.0001 \n(Fisher's Exact Test for Count Data)
2 cyl Number of cylinders 6 0 (0%) 1 (100.00%) 3 Odds ratio [95% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0 to NA]\n8 vs 4: 5.98e+09 [2.27e-200 to NA] p value: 0.0001 \n(Fisher's Exact Test for Count Data)
3 cyl Number of cylinders 8 0 (0%) 11 (100.00%) 2 Odds ratio [95% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0 to NA]\n8 vs 4: 5.98e+09 [2.27e-200 to NA] p value: 0.0001 \n(Fisher's Exact Test for Count Data)
4 cyl Number of cylinders NA 2 2 1 Odds ratio [95% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0 to NA]\n8 vs 4: 5.98e+09 [2.27e-200 to NA] p value: 0.0001 \n(Fisher's Exact Test for Count Data)
5 carb Number of carburetors Min / Max 1.0 / 2.0 2.0 / 8.0 1.0 / 4.0 Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.40 [1.54 to 3.26] p value: 0.0001 \n(Wilcoxon rank sum test)
6 carb Number of carburetors Med [IQR] 1.0 [1.0;2.0] 4.0 [2.5;4.0] 2.5 [2.0;4.0] Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.40 [1.54 to 3.26] p value: 0.0001 \n(Wilcoxon rank sum test)
7 carb Number of carburetors Mean (std) 1.3 (0.5) 3.7 (1.6) 2.8 (1.2) Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.40 [1.54 to 3.26] p value: 0.0001 \n(Wilcoxon rank sum test)
8 carb Number of carburetors N (NA) 9 (0) 15 (0) 8 (0) Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.40 [1.54 to 3.26] p value: 0.0001 \n(Wilcoxon rank sum test)
9 qsec_posix Date+time Min / Max 2010-01-17 22:36:00 - 2010-01-21 01:14:24 2010-01-15 13:00:00 - 2010-01-19 01:00:00 2010-01-16 21:09:36 - 2010-01-23 22:36:00 Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.94e+05 [-2.76e+05 to -1.12e+05] p value: 0.0001 \n(Two Sample t-test)
10 qsec_posix Date+time Med [IQR] 2010-01-19 22:36:00 [2010-01-19 15:24:00;2010-01-20 12:16:48] 2010-01-18 01:28:48 [2010-01-16 13:00:00;2010-01-18 15:24:00] 2010-01-19 15:24:00 [2010-01-18 01:28:48;2010-01-21 01:00:00] Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.94e+05 [-2.76e+05 to -1.12e+05] p value: 0.0001 \n(Two Sample t-test)
11 qsec_posix Date+time Mean (std) 2010-01-19 23:16:00 (22.7 hours) 2010-01-17 17:22:04 (1.2 days) 2010-01-19 20:44:24 (2.2 days) Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.94e+05 [-2.76e+05 to -1.12e+05] p value: 0.0001 \n(Two Sample t-test)
12 qsec_posix Date+time N (NA) 9 (0) 15 (0) 8 (0) Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.94e+05 [-2.76e+05 to -1.12e+05] p value: 0.0001 \n(Two Sample t-test)
13 surv Dummy survival (disp/am) t=71.1 0.89 (1/9) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
14 surv Dummy survival (disp/am) t=75.7 0.78 (1/8) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
15 surv Dummy survival (disp/am) t=78.7 0.67 (1/7) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
16 surv Dummy survival (disp/am) t=79 0.56 (1/6) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
17 surv Dummy survival (disp/am) t=95.1 0.44 (1/5) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
18 surv Dummy survival (disp/am) t=108 0.33 (1/4) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
19 surv Dummy survival (disp/am) t=120.1 0.33 (0/3) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
20 surv Dummy survival (disp/am) t=120.3 0.33 (0/2) 0.93 (1/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
21 surv Dummy survival (disp/am) t=121 0.17 (1/2) 0.93 (0/14) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
22 surv Dummy survival (disp/am) t=140.8 0.17 (0/1) 0.93 (0/14) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
23 surv Dummy survival (disp/am) t=145 0.17 (0/1) 0.87 (1/14) 1.00 (0/7) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
24 surv Dummy survival (disp/am) t=146.7 0.17 (0/1) 0.87 (0/13) 1.00 (0/7) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
25 surv Dummy survival (disp/am) t=160 0.17 (0/1) 0.73 (2/13) 1.00 (0/6) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
26 surv Dummy survival (disp/am) t=167.6 0.17 (0/1) 0.73 (0/11) 1.00 (0/6) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
27 surv Dummy survival (disp/am) t=225 0.17 (0/1) 0.73 (0/11) 1.00 (0/4) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
28 surv Dummy survival (disp/am) t=258 0.17 (0/1) 0.73 (0/11) 1.00 (0/3) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
29 surv Dummy survival (disp/am) t=275.8 0.17 (0/0) 0.73 (0/11) 1.00 (0/3) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
30 surv Dummy survival (disp/am) t=301 0.17 (0/0) 0.65 (1/9) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
31 surv Dummy survival (disp/am) t=304 0.17 (0/0) 0.65 (0/8) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
32 surv Dummy survival (disp/am) t=318 0.17 (0/0) 0.65 (0/7) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
33 surv Dummy survival (disp/am) t=350 0.17 (0/0) 0.65 (0/6) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
34 surv Dummy survival (disp/am) t=351 0.17 (0/0) 0.52 (1/5) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
35 surv Dummy survival (disp/am) t=360 0.17 (0/0) 0.52 (0/4) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
36 surv Dummy survival (disp/am) t=400 0.17 (0/0) 0.52 (0/4) 1.00 (0/0) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
37 surv Dummy survival (disp/am) t=440 0.17 (0/0) 0.52 (0/3) 1.00 (0/0) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
38 surv Dummy survival (disp/am) t=460 0.17 (0/0) 0.52 (0/2) 1.00 (0/0) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
39 surv Dummy survival (disp/am) t=472 0.17 (0/0) 0.52 (0/1) 1.00 (0/0) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
40 surv Dummy survival (disp/am) Median survival 95.1 <NA> <NA> Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
Code
as.data.frame(ct_opt)
Output
.id label variable straight vshaped NA Total effect test
1 cyl cyl 4 7 (87.5%, 100%) 1 (12.5%, 7.7%) 2 10 (37%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
2 cyl cyl 6 0 1 (100%, 7.7%) 3 4 (14.8%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
3 cyl cyl 8 0 11 (100%, 84.6%) 2 13 (48.1%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
4 cyl cyl NA 2 2 1 5 Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
5 cyl cyl Total 9 (37.5%) 15 (62.5%) 8 32 (100%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
6 carb carb Mean (SD) 1.3 (0.5) 3.7 (1.6) 2.8 (1.2) 2.8 (1.6) Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.4 [2 to 2.8] p value: <0.1 \n(Wilcoxon rank sum test)
7 qsec_posix qsec_posix Mean (SD) 19/01/2010 (22.7 hours) 17/01/2010 (1.2 days) 19/01/2010 (2.2 days) 18/01/2010 (1.8 days) Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.9e+05 [-2.8e+05 to -1.1e+05] p value: <0.1 \n(Two Sample t-test)
8 surv surv t=0 1 (0/9) 1 (0/15) 1 (0/8) 1 (0/32) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: <0.1 \n(Logrank test)
9 surv surv t=100 0.4 (5/4) 1 (0/15) 1 (0/8) 0.8 (5/27) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: <0.1 \n(Logrank test)
10 surv surv Median follow up [min ; max] 258 [120.1 ; 258] 400 [275.8 ; 472] 196.3 [140.8 ; 360] 304 [120.1 ; 472] Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: <0.1 \n(Logrank test)
11 surv surv Median survival 95.1 <NA> <NA> <NA> Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: <0.1 \n(Logrank test)
Code
ft_noopt
Output
a flextable object.
col_keys: `label`, `variable`, `straight`, `vshaped`, `NA`, `Total`, `effect`, `test`
header has 2 row(s)
body has 11 row(s)
original dataset sample:
.id label variable straight vshaped NA Total effect test
1 cyl cyl 4 7 (87.5%, 100%) 1 (12.5%, 7.7%) 2 10 (37%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
2 cyl cyl 6 0 1 (100%, 7.7%) 3 4 (14.8%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
3 cyl cyl 8 0 11 (100%, 84.6%) 2 13 (48.1%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
4 cyl cyl NA 2 2 1 5 Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
5 cyl cyl Total 9 (37.5%) 15 (62.5%) 8 32 (100%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
Code
ft_opt
Output
a flextable object.
col_keys: `variable`, `straight`, `vshaped`, `NA`, `Total`, `effect`, `test`
header has 2 row(s)
body has 15 row(s)
original dataset sample:
variable straight vshaped NA Total effect test
1 cyl (cyl) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1
2 4 7 (87.5%, 100%) 1 (12.5%, 7.7%) 2 10 (37%)
3 6 0 1 (100%, 7.7%) 3 4 (14.8%)
4 8 0 11 (100%, 84.6%) 2 13 (48.1%)
5 NA 2 2 1 5
DanChaltiel/crosstable documentation built on Jan. 23, 2025, 10:10 a.m.
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All options work
Code
as.data.frame(ct_noopt)
Output
.id label variable straight vshaped NA effect test
1 cyl Number of cylinders 4 7 (87.50%) 1 (12.50%) 2 Odds ratio [95% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0 to NA]\n8 vs 4: 5.98e+09 [2.27e-200 to NA] p value: 0.0001 \n(Fisher's Exact Test for Count Data)
2 cyl Number of cylinders 6 0 (0%) 1 (100.00%) 3 Odds ratio [95% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0 to NA]\n8 vs 4: 5.98e+09 [2.27e-200 to NA] p value: 0.0001 \n(Fisher's Exact Test for Count Data)
3 cyl Number of cylinders 8 0 (0%) 11 (100.00%) 2 Odds ratio [95% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0 to NA]\n8 vs 4: 5.98e+09 [2.27e-200 to NA] p value: 0.0001 \n(Fisher's Exact Test for Count Data)
4 cyl Number of cylinders NA 2 2 1 Odds ratio [95% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0 to NA]\n8 vs 4: 5.98e+09 [2.27e-200 to NA] p value: 0.0001 \n(Fisher's Exact Test for Count Data)
5 carb Number of carburetors Min / Max 1.0 / 2.0 2.0 / 8.0 1.0 / 4.0 Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.40 [1.54 to 3.26] p value: 0.0001 \n(Wilcoxon rank sum test)
6 carb Number of carburetors Med [IQR] 1.0 [1.0;2.0] 4.0 [2.5;4.0] 2.5 [2.0;4.0] Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.40 [1.54 to 3.26] p value: 0.0001 \n(Wilcoxon rank sum test)
7 carb Number of carburetors Mean (std) 1.3 (0.5) 3.7 (1.6) 2.8 (1.2) Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.40 [1.54 to 3.26] p value: 0.0001 \n(Wilcoxon rank sum test)
8 carb Number of carburetors N (NA) 9 (0) 15 (0) 8 (0) Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.40 [1.54 to 3.26] p value: 0.0001 \n(Wilcoxon rank sum test)
9 qsec_posix Date+time Min / Max 2010-01-17 22:36:00 - 2010-01-21 01:14:24 2010-01-15 13:00:00 - 2010-01-19 01:00:00 2010-01-16 21:09:36 - 2010-01-23 22:36:00 Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.94e+05 [-2.76e+05 to -1.12e+05] p value: 0.0001 \n(Two Sample t-test)
10 qsec_posix Date+time Med [IQR] 2010-01-19 22:36:00 [2010-01-19 15:24:00;2010-01-20 12:16:48] 2010-01-18 01:28:48 [2010-01-16 13:00:00;2010-01-18 15:24:00] 2010-01-19 15:24:00 [2010-01-18 01:28:48;2010-01-21 01:00:00] Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.94e+05 [-2.76e+05 to -1.12e+05] p value: 0.0001 \n(Two Sample t-test)
11 qsec_posix Date+time Mean (std) 2010-01-19 23:16:00 (22.7 hours) 2010-01-17 17:22:04 (1.2 days) 2010-01-19 20:44:24 (2.2 days) Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.94e+05 [-2.76e+05 to -1.12e+05] p value: 0.0001 \n(Two Sample t-test)
12 qsec_posix Date+time N (NA) 9 (0) 15 (0) 8 (0) Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.94e+05 [-2.76e+05 to -1.12e+05] p value: 0.0001 \n(Two Sample t-test)
13 surv Dummy survival (disp/am) t=71.1 0.89 (1/9) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
14 surv Dummy survival (disp/am) t=75.7 0.78 (1/8) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
15 surv Dummy survival (disp/am) t=78.7 0.67 (1/7) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
16 surv Dummy survival (disp/am) t=79 0.56 (1/6) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
17 surv Dummy survival (disp/am) t=95.1 0.44 (1/5) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
18 surv Dummy survival (disp/am) t=108 0.33 (1/4) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
19 surv Dummy survival (disp/am) t=120.1 0.33 (0/3) 1.00 (0/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
20 surv Dummy survival (disp/am) t=120.3 0.33 (0/2) 0.93 (1/15) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
21 surv Dummy survival (disp/am) t=121 0.17 (1/2) 0.93 (0/14) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
22 surv Dummy survival (disp/am) t=140.8 0.17 (0/1) 0.93 (0/14) 1.00 (0/8) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
23 surv Dummy survival (disp/am) t=145 0.17 (0/1) 0.87 (1/14) 1.00 (0/7) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
24 surv Dummy survival (disp/am) t=146.7 0.17 (0/1) 0.87 (0/13) 1.00 (0/7) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
25 surv Dummy survival (disp/am) t=160 0.17 (0/1) 0.73 (2/13) 1.00 (0/6) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
26 surv Dummy survival (disp/am) t=167.6 0.17 (0/1) 0.73 (0/11) 1.00 (0/6) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
27 surv Dummy survival (disp/am) t=225 0.17 (0/1) 0.73 (0/11) 1.00 (0/4) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
28 surv Dummy survival (disp/am) t=258 0.17 (0/1) 0.73 (0/11) 1.00 (0/3) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
29 surv Dummy survival (disp/am) t=275.8 0.17 (0/0) 0.73 (0/11) 1.00 (0/3) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
30 surv Dummy survival (disp/am) t=301 0.17 (0/0) 0.65 (1/9) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
31 surv Dummy survival (disp/am) t=304 0.17 (0/0) 0.65 (0/8) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
32 surv Dummy survival (disp/am) t=318 0.17 (0/0) 0.65 (0/7) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
33 surv Dummy survival (disp/am) t=350 0.17 (0/0) 0.65 (0/6) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
34 surv Dummy survival (disp/am) t=351 0.17 (0/0) 0.52 (1/5) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
35 surv Dummy survival (disp/am) t=360 0.17 (0/0) 0.52 (0/4) 1.00 (0/2) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
36 surv Dummy survival (disp/am) t=400 0.17 (0/0) 0.52 (0/4) 1.00 (0/0) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
37 surv Dummy survival (disp/am) t=440 0.17 (0/0) 0.52 (0/3) 1.00 (0/0) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
38 surv Dummy survival (disp/am) t=460 0.17 (0/0) 0.52 (0/2) 1.00 (0/0) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
39 surv Dummy survival (disp/am) t=472 0.17 (0/0) 0.52 (0/1) 1.00 (0/0) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
40 surv Dummy survival (disp/am) Median survival 95.1 <NA> <NA> Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: 0.0002 \n(Logrank test)
Code
as.data.frame(ct_opt)
Output
.id label variable straight vshaped NA Total effect test
1 cyl cyl 4 7 (87.5%, 100%) 1 (12.5%, 7.7%) 2 10 (37%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
2 cyl cyl 6 0 1 (100%, 7.7%) 3 4 (14.8%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
3 cyl cyl 8 0 11 (100%, 84.6%) 2 13 (48.1%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
4 cyl cyl NA 2 2 1 5 Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
5 cyl cyl Total 9 (37.5%) 15 (62.5%) 8 32 (100%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
6 carb carb Mean (SD) 1.3 (0.5) 3.7 (1.6) 2.8 (1.2) 2.8 (1.6) Difference in means (bootstrap CI), ref='straight'\nvshaped minus straight: 2.4 [2 to 2.8] p value: <0.1 \n(Wilcoxon rank sum test)
7 qsec_posix qsec_posix Mean (SD) 19/01/2010 (22.7 hours) 17/01/2010 (1.2 days) 19/01/2010 (2.2 days) 18/01/2010 (1.8 days) Difference in means (t-test CI), ref='straight'\nvshaped minus straight: -1.9e+05 [-2.8e+05 to -1.1e+05] p value: <0.1 \n(Two Sample t-test)
8 surv surv t=0 1 (0/9) 1 (0/15) 1 (0/8) 1 (0/32) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: <0.1 \n(Logrank test)
9 surv surv t=100 0.4 (5/4) 1 (0/15) 1 (0/8) 0.8 (5/27) Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: <0.1 \n(Logrank test)
10 surv surv Median follow up [min ; max] 258 [120.1 ; 258] 400 [275.8 ; 472] 196.3 [140.8 ; 360] 304 [120.1 ; 472] Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: <0.1 \n(Logrank test)
11 surv surv Median survival 95.1 <NA> <NA> <NA> Hazard ratio (Wald CI)\nvshaped vs straight: 0.11 [0.03 to 0.42] p value: <0.1 \n(Logrank test)
Code
ft_noopt
Output
a flextable object.
col_keys: `label`, `variable`, `straight`, `vshaped`, `NA`, `Total`, `effect`, `test`
header has 2 row(s)
body has 11 row(s)
original dataset sample:
.id label variable straight vshaped NA Total effect test
1 cyl cyl 4 7 (87.5%, 100%) 1 (12.5%, 7.7%) 2 10 (37%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
2 cyl cyl 6 0 1 (100%, 7.7%) 3 4 (14.8%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
3 cyl cyl 8 0 11 (100%, 84.6%) 2 13 (48.1%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
4 cyl cyl NA 2 2 1 5 Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
5 cyl cyl Total 9 (37.5%) 15 (62.5%) 8 32 (100%) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1 \n(Fisher's Exact Test for Count Data)
Code
ft_opt
Output
a flextable object.
col_keys: `variable`, `straight`, `vshaped`, `NA`, `Total`, `effect`, `test`
header has 2 row(s)
body has 15 row(s)
original dataset sample:
variable straight vshaped NA Total effect test
1 cyl (cyl) Odds ratio [70% Wald CI], ref='vshaped vs straight'\n6 vs 4: 5.98e+09 [0.00e+00 to NA]\n8 vs 4: 5.98e+09 [1.27e-79 to 2.72e+247] p value: <0.1
2 4 7 (87.5%, 100%) 1 (12.5%, 7.7%) 2 10 (37%)
3 6 0 1 (100%, 7.7%) 3 4 (14.8%)
4 8 0 11 (100%, 84.6%) 2 13 (48.1%)
5 NA 2 2 1 5
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