Assists in patching together more complex tables. tbl_stack()
appends two
or more gtsummary tables.
Usage
tbl_stack(
tbls,
group_header = NULL,
quiet = FALSE,
attr_order = seq_along(tbls)
)
Arguments
- tbls
(
list
)
List of gtsummary objects- group_header
(
character
)
Character vector with table headers where length matches the length oftbls
- quiet
(scalar
logical
)
Logical indicating whether to suppress additional messaging. Default isFALSE
.- attr_order
(
integer
)
Set the order table attributes are set. Tables are stacked in the order they are passed in thetbls
argument: useattr_order
to specify the order the table attributes take precedent. For example, to use the header from the second table specifyattr_order=2
. Default is to set precedent in the order tables are passed.
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
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"))
OR
95% CI
p-value
HR
95% CI
p-value
Unadjusted Analysis
Adjusted Analysis
Abbreviations: CI = Confidence Interval, HR = Hazard Ratio, OR = Odds Ratio