This page includes recent facts and data concerning Theresa Hutchins.

Studying and analyzing Higgs and Attwood’s amino acid analysis proved very useful in understanding how useful R is for manipulating, visualizing and understanding data. It also clearly displays how easy it is to find trends and other interesting factors hidden in data that isn’t put into a visual display format. In this document a few of R’s plotting mechanisms will be used, centering around ggpubr. Key functions that are used is the scatterplot3D(), plot(), and, ggscatter(). All of these are very customizable and can utilize an array of different visual aids to help understand Higgs and Attwood’s data even clearer.

Creates a function that determines number of possible rooted or unrooted trees for n taxa.

Included is the data needed to make the plots as well as a graph if Volume of the amino acid vs pI.

This code plots data from a distance matrix and displays a variety of visualizations for resulting phylogenetic trees.

Goes through how to use previously recorded data and use it to visualize future variability in population rates. Also code used to calculate logs of data and visualize the data is included as well.

Sample Code Worked on in BIOSC 1540