https://github.com/openintrostat/oilabs-jamovi
💻 OpenIntro labs for Jamovi
https://github.com/openintrostat/oilabs-jamovi
jamovi openintro r rstats statistics
Last synced: 4 months ago
JSON representation
💻 OpenIntro labs for Jamovi
- Host: GitHub
- URL: https://github.com/openintrostat/oilabs-jamovi
- Owner: OpenIntroStat
- License: cc-by-sa-4.0
- Created: 2021-05-29T15:16:16.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2025-12-03T19:08:52.000Z (6 months ago)
- Last Synced: 2025-12-07T00:41:35.981Z (6 months ago)
- Topics: jamovi, openintro, r, rstats, statistics
- Language: HTML
- Homepage: https://openintrostat.github.io/oilabs-jamovi
- Size: 62.7 MB
- Stars: 7
- Watchers: 3
- Forks: 4
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
OpenIntro Labs promote the understanding and application of statistics through applied data analysis.
Labs are titled based on topic area, which correspond to particular chapters in all three versions of OpenIntro Statistics, a free and open-source textbook.
The textbook as well as the html version of the labs can be found at [http://www.openintro.org/stat/labs.php](http://www.openintro.org/stat/labs.php).
This repository is a fork of [oilabs-tidy](https://github.com/OpenIntroStat/oilabs-tidy).
It uses [jamovi](https://www.jamovi.org/).
jamovi is free and open source software for conducting statistical analysis.
It is built on the programming language R, and allows for a variety of statistical analyses.
## Labs
1. [Intro to jamovi](http://openintrostat.github.io/oilabs-jamovi/01_intro_to_jamovi/intro_to_jamovi.html)
2. [Intro to data](http://openintrostat.github.io/oilabs-jamovi/02_intro_to_data/intro_to_data.html)
4. [Probability](http://openintrostat.github.io/oilabs-jamovi/03_probability/probability.html)
3. [Normal distribution](http://openintrostat.github.io/oilabs-jamovi/04_normal_distribution/normal_distribution.html)
5. Foundations of inference
a. [Sampling distributions](https://openintro.shinyapps.io/sampling_distributions_jamovi)
b. [Confidence intervals](https://openintro.shinyapps.io/confidence_intervals_jamovi)
6. [Inference for categorical data](https://openintro.shinyapps.io/inf_for_categorical_data_jamovi)
7. [Inference for numerical data](http://openintrostat.github.io/oilabs-jamovi/07_inf_for_numerical_data/inf_for_numerical_data.html)
8. [Simple linear regression](http://openintrostat.github.io/oilabs-jamovi/08_simple_regression/simple_regression.html)
9. [Multiple linear regression](http://openintrostat.github.io/oilabs-jamovi/09_multiple_regression/multiple_regression.html)
## Source code for labs
We currently support our source files in the RMarkdown (.Rmd) format, which can be output into html format (though output to pdf is also possible).
The source files are processed using the [knitr](http://yihui.name/knitr/) package in R, and are easiest to use in [RStudio](https://www.rstudio.com/products/rstudio/download/).
## Feedback / collaboration
Your feedback is most welcomed!
If you have suggestions for minor updates (fixing typos, etc.) please do not hesitate to issue a pull request.
If you have ideas for major revamp of a lab (replacing outdated code with modern version, overhaul in pedagogy, etc.) please create an issue so to start the conversation.
It is our hope that these materials are useful for instructors and students of
statistics.
If you end up developing some interesting variants of these labs or
creating new ones, please let us know!
## Code of Conduct
Please note that the oilabs-jamovi project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html).
By contributing to this project, you agree to abide by its terms.
* * *
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.