Rmarkdown - Fully Reproducible Data Analysis
收藏DataCite Commons2020-07-31 更新2025-04-17 收录
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https://uvaauas.figshare.com/articles/Rmarkdown_-_Fully_Reproducible_Data_Analysis/10033292
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资源简介:
Fully reproducible Rmarkdown documents as html, pdf, and rmd.<br>The script:1) Produces confusion matrices for accurate perception of each behavioral context, arousal level and valence based on the categoriation task (Experiment 1).2) Displays d primes for the match-to-context task (Experiment 2).3) Implements GLMM to test which acoustic parameters of the vocalizations predict human’ ability to accurately perceive behavioral context (context-matching task), arousal and valence in chimpanzee vocalizations.
可完全复现的Rmarkdown(R Markdown)文档,支持导出为HTML、PDF及RMD格式。
本脚本可实现以下功能:
1)基于分类任务(实验1)生成混淆矩阵,用于精准识别各类行为情境、唤醒水平与效价;
2)呈现匹配情境任务(实验2)的辨别力指数(d');
3)构建广义线性混合模型(Generalized Linear Mixed Model, GLMM),以检验黑猩猩鸣叫声的哪些声学参数可预测人类对其鸣叫声中行为情境(情境匹配任务)、唤醒水平及效价的精准识别能力。
提供机构:
University of Amsterdam / Amsterdam University of Applied Sciences
创建时间:
2020-02-28



