socialdefeat-package: Package for analyzing social defeat data

In cookpa/socialdefeat: Methods for analyzing social defeat data

Description

Contains code for analysis of social defeat data.

Currently just a bunch of functions for doing a cluster analysis to classify animals as short latency (SL) or long latency (LL) based on their average latency.

Details

Package:	socialdefeat
Type:	Package
Version:	0.1
Date:	2014-01-23
License:	GPL v3 or later

The package contains functions for classifying animals into SL and LL groups based on average latency. The classification can be done with a model-based EM algorithm, or with a clustering algorithm such as k-means, pam, or hierarchical clustering.

Uncertainty in classification can be estimated via bootstrap resampling. Functions to visualize the results of these experiments are also provided.

See bootstrapClusterClass and bootstrapEM_Class for executable examples. These are just examples to play with using dummy data, see the function documentation for recommended parameters.

Author(s)

Philip A Cook

Maintainer: Philip A Cook <[e-mail]>

See Also

hc Mclust kmeans pam

cookpa/socialdefeat documentation built on May 17, 2019, 10:12 p.m.