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Create a baseline table

Source: R/baseline_table.R
create_baseline.Rd

Create a baseline table

Usage

create_baseline(
  data,
  ...,
  by.var,
  add.p = FALSE,
  add.overall = FALSE,
  theme = c("jama", "lancet", "nejm", "qjecon")
)

Arguments

data

data

...

passed as fun.arg to baseline_table()

add.p

add comparison/p-value

add.overall

add overall column

strat.var

grouping/strat variable

Value

gtsummary table list object

Examples

mtcars |> create_baseline(by.var = "gear", add.p = "yes" == "yes")



  
Characteristic
      3

N = 15		
      4

N = 12		
      5

N = 5		
      p-value1
    
mpg, Median (IQR)
15.5 (14.3 – 18.7)
22.8 (21.0 – 28.9)
19.7 (15.8 – 26.0)
<0.001
cyl, n (%)






<0.001
    4
1 (6.7)
8 (67)
2 (40)

    6
2 (13)
4 (33)
1 (20)

    8
12 (80)
0 (0)
2 (40)

disp, Median (IQR)
318 (276 – 400)
131 (79 – 160)
145 (120 – 301)
<0.001
hp, Median (IQR)
180 (150 – 215)
94 (66 – 110)
175 (113 – 264)
<0.001
drat, Median (IQR)
3.08 (3.00 – 3.21)
3.92 (3.90 – 4.10)
3.77 (3.62 – 4.22)
<0.001
wt, Median (IQR)
3.73 (3.44 – 4.07)
2.70 (2.07 – 3.17)
2.77 (2.14 – 3.17)
<0.001
qsec, Median (IQR)
17.42 (17.02 – 18.00)
18.76 (18.41 – 19.69)
15.50 (14.60 – 16.70)
0.002
vs, n (%)
3 (20)
10 (83)
1 (20)
0.001
am, n (%)
0 (0)
8 (67)
5 (100)
<0.001
carb, n (%)






0.24
    1
3 (20)
4 (33)
0 (0)

    2
4 (27)
4 (33)
2 (40)

    3
3 (20)
0 (0)
0 (0)

    4
5 (33)
4 (33)
1 (20)

    6
0 (0)
0 (0)
1 (20)

    8
0 (0)
0 (0)
1 (20)

1 Kruskal-Wallis rank sum test; Fisher’s exact test
    
create_baseline(default_parsing(mtcars), by.var = "am", add.p = FALSE, add.overall = FALSE, theme = "lancet")



  
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 (%)