The flextable package provides a framework for easily create tables for reporting and publications. Tables can be embedded within:
- R Markdown documents with support for HTML, Word and PowerPoint documents.
- Microsoft Word or PowerPoint documents with package officer.
- PDF documents with package
pagedown
Tables can also be rendered as R plots or graphic files (png, pdf and jpeg).
An API is available to let R users create tables for reporting and
control their formatting properties and their layout. A flextable
object is a data.frame representation, it can be manipulated with
functions that give control over:
- header, body and footer content
- text, paragraphs, cells and border formatting of any element
- displayed values
There are articles on the flextable website that will help you get you to start quickly:
The help pages can be read here.
install.packages("flextable")
You can get the development version from GitHub:
devtools::install_github("davidgohel/flextable")
The help pages are located at https://davidgohel.github.io/flextable/.
This project is developed and maintained on my own time. If you have
questions about how to use the package, visit Stackoverflow and use tags
flextable
and r
Stackoverflow
link! I
usually read them and answer when possible.
Don’t send me a private emails to get free R support or to ask questions about using the package. They are systematically ignored except if you are French in which case I send you a commercial proposal :)
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:
- 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.