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CITATION.cff
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: RRRRR... I'm stuck!
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Kaija
family-names: Gahm
email: [email protected]
affiliation: UCLA
orcid: 'https://orcid.org/0000-0002-4612-4426'
- given-names: Xochitl
family-names: Ortiz-Ross
affiliation: UCLA
email: [email protected]
orcid: 'https://orcid.org/0000-0002-2598-8268'
- given-names: Peter
family-names: Laurin
orcid: 'https://orcid.org/0000-0003-0294-514X'
affiliation: UCLA
email: [email protected]
identifiers:
- type: doi
value: 10.17605/OSF.IO/37JPQ
description: OSF DOI (always resolves to latest version)
repository-code: 'https://github.com/kaijagahm/R-help-reprexes'
url: 'https://kaijagahm.github.io/R-help-reprexes/'
abstract: >
This is a lesson for beginner R coders in (ecological) data science.
This lesson will teach how to identify and resolve problematic code by using minimal reproducible examples to ask for help from the community.
While this lesson should be appropriate for all levels, it is merely a supplement and not a replacement for an intro to R lesson.
As such, this lesson assumes a basic understanding of data structures, manipulation, and visualization in R.
Familiarity with the tidyverse package is helpful but not required.
An example of an introductory lesson that covers all pre-requisites is The Carpentries' Data Analysis and Visualization in R for Ecologists.
The website for this lesson can be found at https://kaijagahm.github.io/R-help-reprexes/.
This lesson is a template lesson that uses The Carpentries Workbench. Click on the link to learn more.
keywords:
- reprex
- R
- debugging
- error
- coding
- RStudio
- reproducible example
- MRE
- minimal reproducible example
- minimal
- reproducible
- example
- question
license: CC-BY-4.0