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https://github.com/best-practice-and-impact/aftables

R package: generate best-practice stats spreadsheets for publication
https://github.com/best-practice-and-impact/aftables

accessibility openxlsx reproducible-analytical-pipeline rstats rstats-package spreadsheet uk-gov-data-science

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R package: generate best-practice stats spreadsheets for publication

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README

          

---
output: github_document
---

```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#",
fig.path = "man/figures/README-",
out.width = "100%"
)
```

# {aftables}

[![CRAN
status](https://www.r-pkg.org/badges/version/aftables)](https://CRAN.R-project.org/package=aftables)
[![R-CMD-check](https://github.com/best-practice-and-impact/aftables/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/best-practice-and-impact/aftables/actions/workflows/R-CMD-check.yaml)

## Purpose

An R package to help automatically create reproducible spreadsheets that adhere to the guidance on [releasing statistics in spreadsheets](https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/) from the UK government's [Analysis Function](https://analysisfunction.civilservice.gov.uk/), with a focus on accessibility.

Visit [the {aftables} website](https://best-practice-and-impact.github.io/aftables/) for documentation.

## Accessibility

This package is not yet capable of creating perfectly accessible spreadsheets but will help with the bulk of the work needed. Users of this packages should refer back to [the main spreadsheet guidance](https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/) or [the spreadsheet accessibility checklist](https://analysisfunction.civilservice.gov.uk/policy-store/making-spreadsheets-accessible-a-brief-checklist-of-the-basics/) after using it to make sure nothing has been missed. Please email [analysis.function@ons.gov.uk](mailto:analysis.function@ons.gov.uk) if you use the package so they can monitor use and the outputs produced.

## Contribute

The package is under (opinionated) active development. Please see [the NEWS file](https://best-practice-and-impact.github.io/aftables/news/index.html) for the latest changes.

To contribute, please add [an issue](https://github.com/best-practice-and-impact/aftables/issues) or [a pull request](https://github.com/best-practice-and-impact/aftables/pulls) after reading [the code of conduct](https://github.com/best-practice-and-impact/aftables/blob/main/.github/CODE_OF_CONDUCT.md) and [contributing](https://github.com/best-practice-and-impact/aftables/blob/main/.github/CONTRIBUTING.md) guidance.

## Installation

### Install from CRAN

Install the latest release version of aftables directly from CRAN:

``` {r install from CRAN, eval=FALSE}
install.packages("aftables")
```

### Install from GitHub

Install the package [from GitHub](https://github.com/best-practice-and-impact/aftables) using [{remotes}](https://remotes.r-lib.org/).

```{r install, eval=FALSE}
install.packages("remotes") # if not already installed

remotes::install_github(
repo = "best-practice-and-impact/aftables", # GitHub user/repository
dependencies = TRUE, # install required/suggested packages
build_vignettes = TRUE # generate vignette documentation
)
```

## How to install a11ytables

The original name of the aftables package was a11ytables. The package was renamed to make it consistent the [afcharts package](https://github.com/best-practice-and-impact/afcharts). Some function names were updated when the package was renamed. If you need to install a11ytables for a legacy project, the following code can be used.

```{r install a11ytables, eval=FALSE}
install.packages("remotes") # if not already installed

remotes::install_github(
repo = "best-practice-and-impact/aftables", # GitHub user/repository
ref = "v0.3.2", # this installs the final version of a11ytables. Change if you need an earlier version.
dependencies = TRUE, # install required/suggested packages
build_vignettes = TRUE # generate vignette documentation
)

library(a11ytables) # attach package
```

## Use

To create a spreadsheet:

1. Use `create_aftable()`
1. Pass the output to `generate_workbook()`
1. Pass the output to `openxlsx::saveWorkbook()`

Run `?function_name` or visit [the package website](https://best-practice-and-impact.github.io/aftables/reference/index.html) for function documentation. For long-form documentation, [visit the package website](https://best-practice-and-impact.github.io/aftables/) or run `browseVignettes("aftables")` to read the:

* [introductory vignette](https://best-practice-and-impact.github.io/aftables/articles/aftables.html) to get started
* [accessibility checklist vignette](https://best-practice-and-impact.github.io/aftables/articles/checklist.html) to see how the package complies with best-practice guidance
* [terminology vignette](https://best-practice-and-impact.github.io/aftables/articles/terminology) to understand the nomenclature of spreadsheet terms as used in this package
* [package structure vignette](https://best-practice-and-impact.github.io/aftables/articles/structure) to see how the package works under the hood

This package also includes [an RStudio Addin](https://rstudio.github.io/rstudioaddins/) that inserts pre-filled demo skeletons of the {aftables} workflow.

## Related projects

The ONS's Analysis Standards and Pipelines team has released [a Python package called 'gptables'](https://github.com/best-practice-and-impact/gptables). {aftables} is an independent effort that offers a native R solution that is very similar to gptables in its outputs, though there are some differences in implementation.

{aftables} can help you fulfill a [Reproducible Analytical Pipeline](https://analysisfunction.civilservice.gov.uk/support/reproducible-analytical-pipelines/) by automating the generation of compliant spreadsheets for publication.

## Code of Conduct

Please note that the {aftables} project is released with a [Contributor Code of Conduct](https://best-practice-and-impact.github.io/aftables/CODE_OF_CONDUCT.html).

## Copyright and Licensing

© Crown Copyright, 2023.

This work is [Crown Copyright](https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/). The source code for the software is released under the MIT licence as per the the [UK Government Licensing Framework](https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/open-government-licence/open-software-licences/) and the [GDS Way licensing guidance](https://gds-way.digital.cabinet-office.gov.uk/manuals/licensing.html). The documentation for the software is released under the [Open Government Licence](https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/).