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Rmarkdown - Fully Reproducible Data Analysis

dataset
posted on 2020-02-28, 09:22 authored by R.G. KamilogluR.G. Kamiloglu
Fully reproducible Rmarkdown documents as html, pdf, and rmd.

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.

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Retention period

2035-11-30

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    University of Amsterdam / Amsterdam University of Applied Sciences

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