tbl_stack: Stacks two or more gtsummary objects

In ddsjoberg/gtsummary: Presentation-Ready Data Summary and Analytic Result Tables

Stacks two or more gtsummary objects

Description

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

Usage

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

Arguments

tbls	List of gtsummary objects
group_header	Character vector with table headers where length matches the length of ⁠tbls=⁠
quiet	Logical indicating whether to print messages in console. Default is FALSE

Value

A tbl_stack object

Example Output

Example 1

Example 2

Author(s)

Daniel D. Sjoberg

See Also

tbl_merge

Other tbl_summary tools: add_n.tbl_summary(), add_overall(), add_p.tbl_summary(), add_q(), add_stat_label(), bold_italicize_labels_levels, inline_text.tbl_summary(), inline_text.tbl_survfit(), modify, separate_p_footnotes(), tbl_custom_summary(), tbl_merge(), tbl_split(), tbl_strata(), tbl_summary()

Other tbl_svysummary tools: add_n.tbl_summary(), add_overall(), add_p.tbl_svysummary(), add_q(), add_stat_label(), modify, separate_p_footnotes(), tbl_merge(), tbl_split(), tbl_strata(), tbl_svysummary()

Other tbl_regression tools: add_global_p(), add_q(), bold_italicize_labels_levels, combine_terms(), inline_text.tbl_regression(), modify, tbl_merge(), tbl_regression(), tbl_split(), tbl_strata()

Other tbl_uvregression tools: add_global_p(), add_q(), bold_italicize_labels_levels, inline_text.tbl_uvregression(), modify, tbl_merge(), tbl_split(), tbl_strata(), tbl_uvregression()

Other tbl_survfit tools: add_n.tbl_survfit(), add_nevent.tbl_survfit(), add_p.tbl_survfit(), modify, tbl_merge(), tbl_split(), tbl_strata(), tbl_survfit()

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_ex1 <- tbl_stack(list(t1, t2))

# 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_ex2 <-
  tbl_stack(list(row1, row2), group_header = c("Unadjusted Analysis", "Adjusted Analysis"))

ddsjoberg/gtsummary documentation built on Nov. 3, 2023, 11:42 a.m.