flextable R package

The user documentation is available here: https://ardata-fr.github.io/flextable-book/

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:

• header, body and footer content
• text, paragraphs, cells and border formatting of any element
• displayed values

Installation

install.packages("flextable")

You can get the development version from GitHub:

devtools::install_github("davidgohel/flextable")

Resources

Documentation

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/

Getting help / questions

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.

Contributing to the package

Code of Conduct

Anyone getting involved in this package agrees to our Code of Conduct.

Bug reports

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.

Contributing to the package development

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:

• the new function(s) with code and roxygen tags (with examples)
• a new section in the appropriate vignette that describes how to use the new function
• corresponding tests in directory 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.