https://github.com/wlandau/targets-four-minutes

Get started with the {targets} R package in four minutes
https://github.com/wlandau/targets-four-minutes

make pipeline reproducibility rstats targets

Last synced: 17 days ago
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Get started with the {targets} R package in four minutes

• Host: GitHub
• URL: https://github.com/wlandau/targets-four-minutes
• Owner: wlandau
• License: other
• Created: 2022-04-22T15:15:30.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-29T14:04:03.000Z (6 months ago)
• Last Synced: 2024-10-11T18:25:05.677Z (about 1 month ago)
• Topics: make, pipeline, reproducibility, rstats, targets
• Language: R
• Homepage: https://vimeo.com/700982360
• Size: 135 KB
• Stars: 36
• Watchers: 3
• Forks: 12
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• jimsghstars - wlandau/targets-four-minutes - Get started with the {targets} R package in four minutes (R)

README

        
# Get started with `targets` in 4 minutes

[![cloud](https://img.shields.io/badge/RStudio-Cloud-blue)](https://rstudio.cloud/project/3946303)

The [`targets`](https://docs.ropensci.org/targets/) R package is a pipeline tool for reproducible computation in statistics and data science. This short example is the one from the 4-minute video on getting started with [`targets`](https://docs.ropensci.org/targets/). It also comes up in the [walkthrough](https://books.ropensci.org/targets/walkthrough.html)

and [functions](https://books.ropensci.org/targets/functions.html)

chapters of the [user manual](https://books.ropensci.org/targets/).

[![](./images/video.png)](https://vimeo.com/700982360)

## Try it out

Visit  to try out the code in a web browser. No download or installation required.

## Files

* `data.csv`: the `airquality` dataset from the `datasets` package.

* `R/functions.R`: custom R functions you define for the analysis.

* `_targets.R`: a special script to configure and define the pipeline.

## Usage

1. `library(targets)` to load the package.

1. [`tar_manifest()`](https://docs.ropensci.org/targets/reference/tar_manifest.html) and [`tar_visnetwork()`](https://docs.ropensci.org/targets/reference/tar_visnetwork.html) to check the pipeline for correctness.

1. [`tar_make()`](https://docs.ropensci.org/targets/reference/tar_make.html) or [similar](https://docs.ropensci.org/targets/reference/index.html#pipeline) to run the pipeline.

1. [`tar_read()`](https://docs.ropensci.org/targets/reference/tar_read.html) to read target output.

## Changes

* Rerun [`tar_make()`](https://docs.ropensci.org/targets/reference/tar_make.html) after changing nothing else. All targets will be skipped.

* Change the contents of `data.csv` and then rerun [`tar_make()`](https://docs.ropensci.org/targets/reference/tar_make.html). All the targets will rerun.

* Change only the `plot_model()` function in `R/function.R` and then rerun [`tar_make()`](https://docs.ropensci.org/targets/reference/tar_make.html). Only the `plot` target will rerun, and the rest will be skipped.