Stack tables

Assists in patching together more complex tables. tbl_stack() appends two or more gtsummary tables. Column attributes, including number formatting and column footnotes, are retained from the first passed gtsummary object.

Usage

tbl_stack(tbls, group_header = NULL, quiet = FALSE)

Arguments

tbls

(list)
List of gtsummary objects

group_header

(character)
Character vector with table headers where length matches the length of tbls

quiet

(scalar logical)
Logical indicating whether to suppress additional messaging. Default is FALSE.

Value

A tbl_stack object

Author

Daniel D. Sjoberg

Examples

# Example 1 ----------------------------------
# stacking two tbl_regression objects
t1 <-
  glm(response ~ trt, trial, family = binomial) %>%
  tbl_regression(
    exponentiate = TRUE,
    label = list(trt ~ "Treatment (unadjusted)")
  )

t2 <-
  glm(response ~ trt + grade + stage + marker, trial, family = binomial) %>%
  tbl_regression(
    include = "trt",
    exponentiate = TRUE,
    label = list(trt ~ "Treatment (adjusted)")
  )

tbl_stack(list(t1, t2))


  
Characteristic
      
OR
      
95% CI
      
p-value
    
Treatment (unadjusted)





    Drug A
—
—

    Drug B
1.21
0.66, 2.24
0.5
Treatment (adjusted)





    Drug A
—
—

    Drug B
1.48
0.78, 2.86
0.2
Abbreviations: CI = Confidence Interval, OR = Odds Ratio
    

# Example 2 ----------------------------------
# stacking two tbl_merge objects
library(survival)
t3 <-
  coxph(Surv(ttdeath, death) ~ trt, trial) %>%
  tbl_regression(
    exponentiate = TRUE,
    label = list(trt ~ "Treatment (unadjusted)")
  )

t4 <-
  coxph(Surv(ttdeath, death) ~ trt + grade + stage + marker, trial) %>%
  tbl_regression(
    include = "trt",
    exponentiate = TRUE,
    label = list(trt ~ "Treatment (adjusted)")
  )

# first merging, then stacking
row1 <- tbl_merge(list(t1, t3), tab_spanner = c("Tumor Response", "Death"))
row2 <- tbl_merge(list(t2, t4))

tbl_stack(list(row1, row2), group_header = c("Unadjusted Analysis", "Adjusted Analysis"))


  
Characteristic
      

        
Tumor Response
      
      

        
Death
      
    
OR
      
95% CI
      
p-value
      
HR
      
95% CI
      
p-value
    
Unadjusted Analysis
    
Treatment (unadjusted)











    Drug A
—
—


—
—

    Drug B
1.21
0.66, 2.24
0.5
1.25
0.86, 1.81
0.2
Adjusted Analysis
    
Treatment (adjusted)











    Drug A
—
—


—
—

    Drug B
1.48
0.78, 2.86
0.2
1.30
0.88, 1.92
0.2
Abbreviations: CI = Confidence Interval, HR = Hazard Ratio, OR = Odds Ratio