gtsummary
The {gtsummary} package provides an elegant and flexible way to create
publication-ready analytical and summary tables using the R
programming language. The {gtsummary} package summarizes data sets,
regression models, and more, using sensible defaults with highly
customizable capabilities.
-
Summarize data frames or
tibbles
easily in R. Perfect for presenting descriptive statistics,
comparing group demographics (e.g creating a Table 1 for
medical journals), and more. Automatically detects continuous,
categorical, and dichotomous variables in your data set, calculates
appropriate descriptive statistics, and also includes amount of
missingness in each variable. -
Summarize regression
models
in R and include reference rows for categorical variables. Common
regression models, such as logistic regression and Cox proportional
hazards regression, are automatically identified and the tables are
pre-filled with appropriate column headers (i.e. Odds Ratio and
Hazard Ratio). -
Customize gtsummary
tables
using a growing list of formatting/styling functions.
Bold
labels,
italicize
levels, add
p-value
to summary tables,
style
the statistics however you choose,
merge
or
stack
tables to present results side by side… there are so many
possibilities to create the table of your dreams! -
Report statistics
inline
from summary tables and regression summary tables in R markdown.
Make your reports completely reproducible!
By leveraging {broom},
{gt}, and
{labelled} packages,
{gtsummary} creates beautifully formatted, ready-to-share summary and
result tables in a single line of R code!
Check out the examples below, review the
vignettes for a
detailed exploration of the output options, and view the
gallery
for various customization examples.
Installation
The {gtsummary} package was written as a companion to the
{gt} package from RStudio, and it is
recommended to install both {gt} and {gtsummary}. The {gt} package is
not automatically installed. If {gt} is not installed, knitr::kable()
will be used to produce the summary tables. You can install {gtsummary}
and {gt} with the following code.
-
Install {gtsummary}
install.packages("gtsummary") -
Install {gt} from GitHub (recommended)
install.packages("remotes") remotes::install_github("rstudio/gt", ref = gtsummary::gt_sha)
Install the development version of {gtsummary} with:
remotes::install_github("ddsjoberg/gtsummary")
Examples
Summary Table
Use
tbl_summary()
to summarize a data frame.
Example basic table:
library(gtsummary)
# make dataset with a few variables to summarize
trial2 <- trial %>% dplyr::select(trt, age, grade, response)
# summarize the data with our package
table1 <- tbl_summary(trial2)
There are many customization options to add information (like
comparing groups) and format results (like bold labels) in your
table. See the
tbl_summary()
tutorial for many more options, or below for one example.
table2 <- tbl_summary(
trial2,
by = trt, # split table by group
missing = "no" # don't list missing data separately
) %>%
add_n() %>% # add column with total number of non-missing observations
add_p() %>% # test if there's difference between groups
bold_labels()
Regression Models
Use
tbl_regression()
to easily and beautifully display regression model results in a table.
See the
tutorial
for customization options.
mod1 <- glm(response ~ trt + age + grade, trial, family = binomial)
t1 <- tbl_regression(mod1, exponentiate = TRUE)
Side-by-side Regression Models
You can also present side-by-side regression model results using
tbl_merge()
library(survival)
# build survival model table
t2 <-
coxph(Surv(ttdeath, death) ~ trt + grade + age, trial) %>%
tbl_regression(exponentiate = TRUE)
# merge tables
tbl_merge_ex1 <-
tbl_merge(
tbls = list(t1, t2),
tab_spanner = c("**Tumor Response**", "**Time to Death**")
)
Review even more output options in the table
gallery.
Print Engine
{gtsummary} uses the {gt} package to print all summary tables. In
addition to supporting {gt}, the {gtsummary} package works well with
knitr::kable(). This is particularly useful when outputting documents
to Microsoft Word. If the {gt} package is not installed, {gtsummary}
will fall back to knitr::kable(). To explicitly set the printing
engine, set the option in the script or in the user- or project R
profile, .Rprofile.
options(gtsummary.print_engine = "kable")
or
options(gtsummary.print_engine = "gt")
Output from {kable} is less full featured compared to summary tables
produced with {gt}. For example, {kable} summary tables do not include
indentation, footnotes, and spanning header rows.
Contributing
Please note that the {gtsummary} project is released with a Contributor
Code of
Conduct.
By contributing to this project, you agree to abide by its terms. A big
thank you to all contributors!
@ablack3,
@ahinton-mmc,
@ddsjoberg,
@emilyvertosick,
@jeanmanguy,
@jennybc,
@jflynn264,
@jwilliman,
@karissawhiting,
@ltin1214,
@margarethannum,
@michaelcurry1123,
@oranwutang,
@sammo3182,
@slobaugh, and
@zabore