Files and links (3)
Code/ScriptMIT license
Code/ScriptMIT license
Code
petersenlab: A collection of R functions by the Petersen Lab
05/14/2024
Abstract
A collection of R functions that are widely used by the Petersen Lab. Included are functions for various purposes, including evaluating the accuracy of judgments and predictions, performing scoring of assessments, generating correlation matrices, conversion of data between various types, data management, psychometric evaluation, extensions related to latent variable modeling, various plotting capabilities, and other miscellaneous useful functions. By making the package available, we hope to make our methods reproducible and replicable by others and to help others perform their data processing and analysis methods more easily and efficiently.
These links include: code provided in the following GitHub repository: https://github.com/DevPsyLab/petersenlab; the R package is published and documented on CRAN at: https://cran.r-project.org/web/packages/petersenlab/index.html.; and the latest release from GitHub is posted on Zenodo at: https://doi.org/10.5281/zenodo.7602890.
The code is also documented on GitHub: https://devpsylab.github.io/petersenlab/. The code is cited in "Principles of Psychological Assessment: With Applied Examples in R" (Petersen, 2024), which includes a commercial version: doi:10.1201/9781003357421, and an open access version: doi:10.5281/zenodo.6466589. These links are included in this record.
Details
- Title: Subtitle
- petersenlab: A collection of R functions by the Petersen Lab
- Creators
- Isaac T Petersen - University of Iowa, Iowa Neuroscience Institute
- Resource Type
- Code
- Language
- English
- Date published
- 05/14/2024
- Description Technical info
- A collection of R functions that are widely used by the Petersen Lab. Included are functions for various purposes, including evaluating the accuracy of judgments and predictions, performing scoring of assessments, generating correlation matrices, conversion of data between various types, data management, psychometric evaluation, extensions related to latent variable modeling, various plotting capabilities, and other miscellaneous useful functions. By making the package available, we hope to make our methods reproducible and replicable by others and to help others perform their data processing and analysis methods more easily and efficiently. The codebase is in . The package is described in Petersen (2024) , .
- Academic Unit
- Iowa Neuroscience Institute; Psychological and Brain Sciences; Center for Social Science Innovation
- Record Identifier
- 9984586048202771
Metrics
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