The user documentation is available here: https://ardata-fr.github.io/flextable-book/
The flextable package provides a framework for easily create tables for
reporting and publications. Tables can be easily formatted with a set of
verbs such as bold()
, color()
, they can
receive a header of more than one line, cells can be merged or contain
an image. The package make it possible to build any table for
publication from a data.frame
.
set_flextable_defaults(
font.family = "Arial", font.size = 10,
border.color = "gray")
flextable(head(cars)) %>%
bold(part = "header") %>%
add_footer_lines("The 'cars' dataset")
Tables can be embedded within HTML, PDF, Word and PowerPoint documents from R Markdown documents and within Microsoft Word or PowerPoint documents with package officer. Tables can also be rendered as R plots or graphic files (png, pdf and jpeg).
flextable(mtcars) %>%
theme_vanilla() %>%
save_as_docx(path = "mytable.docx")
A flextable
object is a data.frame representation. An
API is available to let R users create tables for reporting and control
their formatting properties and their layout. The package provides
functions that give control over:
install.packages("flextable")
You can get the development version from GitHub:
::install_github("davidgohel/flextable") devtools
The help pages are in a bookdown located at: https://ardata-fr.github.io/flextable-book/
Manuals are available at: https://davidgohel.github.io/flextable/reference/index.html
A gallery of examples is available here: https://ardata.fr/en/flextable-gallery/
If you have questions about how to use the package, visit
Stackoverflow and use tags flextable
and r
Stackoverflow
link! You can also use https://github.com/davidgohel/flextable/discussions to
start a discussion.
Anyone getting involved in this package agrees to our Code of Conduct.
When you file a bug report, please spend some time making it easy for me to follow and reproduce. The more time you spend on making the bug report coherent, the more time I can dedicate to investigate the bug as opposed to the bug report.
A great way to start is to contribute an example or improve the documentation.
If you want to submit a Pull Request to integrate functions of yours, please provide:
tests/testthat
.By using rhub (run rhub::check_for_cran()
), you will see
if everything is ok. When submitted, the PR will be evaluated
automatically on travis and appveyor and you will be able to see if
something broke.