capl
The "capl" R package is an open-source tool to simplify the computation and visualization of the Canadian Assessment of Physical Literacy (CAPL-2) scores and interpretations directly from raw data. CAPL-2 is a comprehensive assessment protocol for evaluating children's physical literacy, encompassing a variety of measures that previously required tedious and error-prone manual analysis.
Features of the capl Package:
- Efficiency and Reliability: This method utilizes the R programming environment to offer a fast, efficient, and reliable method for analyzing CAPL-2 data, significantly reducing the risk of computational errors.
- User-Friendly: A "quiet" user experience, the package minimizes "noisy" error messages through careful validation steps, making it accessible even to those with limited programming experience.
- Comprehensive Analysis: With just one line of code using the "get_capl()" function, users can compute 40 variables, including individual scores for each test component within the four CAPL-2 domains (physical competence, daily behavior, motivation, and confidence, knowledge, and understanding) and an overall physical literacy score.
- Visualization: Incorporates integration with the `ggplot2` package, allowing users to easily visualize CAPL-2 results and interpretations, enhancing the presentation and understanding of the data.
Topic
Physics;Data acquisition;Data visualisation
Detail
Operation: Visualisation
Software interface: Command-line interface
Language: R
License: GNU General Public License v3.0
Cost: Free with restrictions
Version name: v1.42
Credit: -
Input: -
Output: -
Contact: Michelle D. Guerrero mguerrero@cheo.on.ca
Collection: -
Maturity: Stable
Publications
- An R Package for Computing Canadian Assessment of Physical Literacy (CAPL) scores and interpretations from raw data.
- Barnes JD and Guerrero MD. An R Package for Computing Canadian Assessment of Physical Literacy (CAPL) scores and interpretations from raw data. An R Package for Computing Canadian Assessment of Physical Literacy (CAPL) scores and interpretations from raw data. 2021; 16:e0243841. doi: 10.1371/journal.pone.0243841
- https://doi.org/10.1371/JOURNAL.PONE.0243841
- PMID: 33617576
- PMC: PMC7899353
Download and documentation
Source: https://github.com/barnzilla/capl/releases/tag/v1.42
Documentation: https://github.com/barnzilla/capl/blob/master/README.md
Home page: http://www.github.com/barnzilla/capl
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