  The past decade has witnessed a dramatic increase in the size and scope of
biological and behavioral experiments. These experiments are providing an
unprecedented level of detail and depth of data. However, this increase in data
presents substantial statistical and graphical hurdles to overcome, namely how
to distinguish signal from noise and how to visualize multidimensional results.
Here we present a series of tools designed to support a research project from
inception to publication. We provide implementation of dimension reduction
techniques and visualizations that function well with the types of data often
seen in animal behavior studies. This package is designed to be used with
experimental data but can also be used for experimental design and sample
justification. The goal for this project is to create a package that will
evolve over time, thereby remaining relevant and reflective of current methods
and techniques.
