flextable R package

Documentation: 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’.

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

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

Getting help

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.

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.