# Creates correct table Code create_baseline(mtcars, by.var = "gear", add.p = "yes" == "yes", add.overall = TRUE, theme = "lancet") Message Setting theme "The Lancet" Output
Characteristic Overall
N = 321		 3
N = 151		 4
N = 121		 5
N = 51		 p-value2
mpg 19·2 (15·4 – 22·8) 15·5 (14·3 – 18·7) 22·8 (21·0 – 28·9) 19·7 (15·8 – 26·0) 0·0008
cyl



<0·0001
    4 11 (34%) 1 (6·7%) 8 (67%) 2 (40%)
    6 7 (22%) 2 (13%) 4 (33%) 1 (20%)
    8 14 (44%) 12 (80%) 0 (0%) 2 (40%)
disp 196 (121 – 334) 318 (276 – 400) 131 (79 – 160) 145 (120 – 301) 0·0003
hp 123 (96 – 180) 180 (150 – 215) 94 (66 – 110) 175 (113 – 264) 0·0007
drat 3·70 (3·08 – 3·92) 3·08 (3·00 – 3·21) 3·92 (3·90 – 4·10) 3·77 (3·62 – 4·22) <0·0001
wt 3·33 (2·54 – 3·65) 3·73 (3·44 – 4·07) 2·70 (2·07 – 3·17) 2·77 (2·14 – 3·17) 0·0003
qsec 17·71 (16·89 – 18·90) 17·42 (17·02 – 18·00) 18·76 (18·41 – 19·69) 15·50 (14·60 – 16·70) 0·0017
vs 14 (44%) 3 (20%) 10 (83%) 1 (20%) 0·0013
am 13 (41%) 0 (0%) 8 (67%) 5 (100%) <0·0001
carb



0·24
    1 7 (22%) 3 (20%) 4 (33%) 0 (0%)
    2 10 (31%) 4 (27%) 4 (33%) 2 (40%)
    3 3 (9·4%) 3 (20%) 0 (0%) 0 (0%)
    4 10 (31%) 5 (33%) 4 (33%) 1 (20%)
    6 1 (3·1%) 0 (0%) 0 (0%) 1 (20%)
    8 1 (3·1%) 0 (0%) 0 (0%) 1 (20%)
1 Median (IQR); n (%)
2 Kruskal-Wallis rank sum test; Fisher’s exact test
--- Code create_baseline(mtcars, by.var = "none", add.p = FALSE, add.overall = FALSE, theme = "lancet") Message Setting theme "The Lancet" Output
Characteristic N = 321
mpg 19·2 (15·4 – 22·8)
cyl
    4 11 (34%)
    6 7 (22%)
    8 14 (44%)
disp 196 (121 – 334)
hp 123 (96 – 180)
drat 3·70 (3·08 – 3·92)
wt 3·33 (2·54 – 3·65)
qsec 17·71 (16·89 – 18·90)
vs 14 (44%)
am 13 (41%)
gear
    3 15 (47%)
    4 12 (38%)
    5 5 (16%)
carb
    1 7 (22%)
    2 10 (31%)
    3 3 (9·4%)
    4 10 (31%)
    6 1 (3·1%)
    8 1 (3·1%)
1 Median (IQR); n (%)
--- Code create_baseline(mtcars, by.var = "test", add.p = FALSE, add.overall = FALSE, theme = "jama") Message Setting theme "JAMA" Output
Characteristic N = 32
mpg, Median (IQR) 19.2 (15.4 – 22.8)
cyl, n (%)
    4 11 (34)
    6 7 (22)
    8 14 (44)
disp, Median (IQR) 196 (121 – 334)
hp, Median (IQR) 123 (96 – 180)
drat, Median (IQR) 3.70 (3.08 – 3.92)
wt, Median (IQR) 3.33 (2.54 – 3.65)
qsec, Median (IQR) 17.71 (16.89 – 18.90)
vs, n (%) 14 (44)
am, n (%) 13 (41)
gear, n (%)
    3 15 (47)
    4 12 (38)
    5 5 (16)
carb, n (%)
    1 7 (22)
    2 10 (31)
    3 3 (9.4)
    4 10 (31)
    6 1 (3.1)
    8 1 (3.1)
--- Code create_baseline(default_parsing(mtcars), by.var = "am", add.p = FALSE, add.overall = FALSE, theme = "nejm") Message Setting theme "New England Journal of Medicine" Output
Characteristic FALSE
N = 191		 TRUE
N = 131
mpg 17.3 (14.7 – 19.2) 22.8 (21.0 – 30.4)
cyl

    4 3 (16) 8 (62)
    6 4 (21) 3 (23)
    8 12 (63) 2 (15)
disp 276 (168 – 360) 120 (79 – 160)
hp 175 (110 – 205) 109 (66 – 113)
drat 3.15 (3.07 – 3.70) 4.08 (3.85 – 4.22)
wt 3.52 (3.44 – 3.85) 2.32 (1.94 – 2.78)
qsec 17.82 (17.05 – 19.44) 17.02 (16.46 – 18.61)
vs 7 (37) 7 (54)
gear

    3 15 (79) 0 (0)
    4 4 (21) 8 (62)
    5 0 (0) 5 (38)
carb

    1 3 (16) 4 (31)
    2 6 (32) 4 (31)
    3 3 (16) 0 (0)
    4 7 (37) 3 (23)
    6 0 (0) 1 (7.7)
    8 0 (0) 1 (7.7)
1 Median (IQR); n (%)