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README.Rmd
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README.Rmd
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---
title: "officer R package"
output:
github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
message = FALSE,
collapse = TRUE,
comment = "#>"
)
```
> Make corporate reporting with minimum hassle
[](https://github.com/davidgohel/officer/actions)
[](https://CRAN.R-project.org/package=officer)
[](https://app.codecov.io/gh/davidgohel/officer)
The officer package lets R users manipulate Word (`.docx`) and
PowerPoint (`*.pptx`) documents. In short, one can add images,
tables and text into documents from R. An initial document can
be provided; contents, styles and properties of the original
document will then be available. It also supports the writing
of 'RTF' documents.
## Ressources
The help pages are in a bookdown located at:
https://ardata-fr.github.io/officeverse/
Manuals are available at:
https://davidgohel.github.io/officer/.
## Word documents
The `read_docx()` function will read an initial Word document (an
empty one by default) and lets you modify its content later.
The package provides functions to add R outputs into a Word document:
* images: produce your plot in png or emf files and add them into the document,
as a whole paragraph or inside a paragraph.
* tables: add data.frames as tables, format is defined by the associated Word table style.
* text: add text as paragraphs or inside an existing paragraph, format is defined by the associated Word paragraph and text styles.
* field codes: add Word field codes inside paragraphs. Field codes is an old
feature of MS Word to create calculated elements such as tables of contents,
automatic numbering and hyperlinks.
File generation is performed with the `print` function.
### import Word document in a data.frame
The function `docx_summary()` reads and imports content of a Word
document into a data.frame. The function handles paragraphs,
tables and section breaks. The function `docx_comments()`
reads comments of a Word document and organise
the results into a data.frame.
## PowerPoint documents
The function `read_pptx()` will read an initial PowerPoint document
(an empty one by default) and let you modify its content later.
The package provides functions to add R outputs into existing or new PowerPoint slides:
* images: produce your plot in png or emf files and add them in a slide.
* tables: add data.frames as tables, format is defined by the associated PowerPoint table style.
* text: add text as paragraphs or inside an existing paragraph, format is defined in the corresponding layout of the slide.
In a PowerPoint document, one can set a slide as selected and reach a particular shape (and remove it or add text).
File generation is performed with the `print()` function.
### import PowerPoint document in a data.frame
The `pptx_summary()` function reads and imports content of a PowerPoint
document into a data.frame. The function handles paragraphs, tables and images.
## Extensions
### Tables and package `flextable`
The package [flextable](https://ardata-fr.github.io/flextable-book/index.html)
brings a full API to produce nice tables and use them with packages officer
and rmarkdown.
### Vector graphics with package `rvg`
The package [rvg](https://github.com/davidgohel/rvg) brings an API to produce nice vector graphics that can be embedded in PowerPoint documents or Excel workbooks with `officer`.
### Native office charts with package `mschart`
The package [mschart](https://github.com/ardata-fr/mschart) combined with `officer` can
produce native office charts in PowerPoint and Word documents.
### Advance Word documents with R Markdown with package `officedown`
The package [officedown](https://ardata-fr.github.io/officeverse/) facilitates the formatting of Microsoft Word documents produced by R Markdown documents.
## Installation
You can get the development version from GitHub:
```{r eval = FALSE}
devtools::install_github("davidgohel/officer")
```
Or the latest version on CRAN:
```{r eval = FALSE}
install.packages("officer")
```
## Getting help
If you have questions about how to use the package,
[visit Stack Overflow's `officer` tag](https://stackoverflow.com/questions/tagged/officer)
and post your question there. 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](https://github.com/davidgohel/officer/blob/master/CONDUCT.md).
### Bug reports
When you file a [bug report](https://github.com/davidgohel/officer/discussions/categories/q-a), 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
* add 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.