snake-monkey

Code for Snake-Monkey project

Snake models

• BB: Bronze back
• CV: Cantor's pit viper
• PY: Python

Variable definitions

• PD: Passing Distance (cm)
• PR: Proximity Distance (cm)
• FG: Frequency of Fear grimace (1/s)
• SS: Frequency of Self-scratching (1/s)
• FR (= FG + SS): Frequency of Fear Response (1/s)
• BS: Frequency of Bipedal Standing (1/s)
• GP: Gaze Percentage (%)
• FV: Frequency of Vocalisations (1/s)
• VO: Number of Vocalisations
• TT: Total time of interaction (s)

Scripts

• bb_py_cv.py creates one boxplot for each variable, comparing it across the three snake models, with pair-wise statistical significance tests.
• model_dead_live.py creates one boxplot for each variable, comparing Cantor's pit viper presentation as a model, dead and live snake, with pair-wise statistical significance tests.
• svm.py performs a support vector machine classification on the behavioral data to predict the snake model (BB, CV, PY).
• vocal_lda.py performs a linear discriminant analysis on the vocalization data, to predict monkey calls.

Dependencies

• Python 3.10.6
• seaborn 0.12.2
• numpy 1.25.1
• matplotlib 3.7.2
• scipy 1.11.1
• pandas 2.0.3