Add N to regression table

Add N to regression table

# S3 method for class 'tbl_regression'
add_n(x, location = "label", ...)

# S3 method for class 'tbl_uvregression'
add_n(x, location = "label", ...)

Arguments

x

(tbl_regression, tbl_uvregression)
a tbl_regression or tbl_uvregression table

location

(character)
location to place Ns. Select one or more of c('label', 'level'). Default is 'label'.

When "label" total Ns are placed on each variable's label row. When "level" level counts are placed on the variable level for categorical variables, and total N on the variable's label row for continuous.

...

These dots are for future extensions and must be empty.

Examples

# Example 1 ----------------------------------
trial |>
  select(response, age, grade) |>
  tbl_uvregression(
    y = response,
    exponentiate = TRUE,
    method = glm,
    method.args = list(family = binomial),
    hide_n = TRUE
  ) |>
  add_n(location = "label")


  
Characteristic
      
N
      
OR
      
95% CI
      
p-value
    
Age
183
1.02
1.00, 1.04
0.10
Grade
193





    I


—
—

    II


0.95
0.45, 2.00
0.9
    III


1.10
0.52, 2.29
0.8
Abbreviations: CI = Confidence Interval, OR = Odds Ratio
    

# Example 2 ----------------------------------
glm(response ~ age + grade, trial, family = binomial) |>
  tbl_regression(exponentiate = TRUE) |>
  add_n(location = "level")


  
Characteristic
      
N
      
OR
      
95% CI
      
p-value
    
Age
183
1.02
1.00, 1.04
0.10
Grade







    I
65
—
—

    II
58
0.85
0.39, 1.85
0.7
    III
60
1.01
0.47, 2.16
>0.9
Abbreviations: CI = Confidence Interval, OR = Odds Ratio