 Enhanced Graphics Using GGPLOT2 in R Paul Sabin March 23rd & 24th, 2015

About the Author  Graduate Student  BS, MS in Statistics, BYU  BA in French, BYU  LISA Collaborator  Sports Enthousiast

About L aboratory for I nterdisciplinary S tatistical A nalysis  Free Collaboration  Experimental Design, Data Analysis, Software Help, Interpreting Results, Grant Proposals  Free Walk-In Consulting for quick statistics questions  M-F 1-3 PM in 103 OSB  T,Th,F 10-Noon in GLC  W 10-Noon in 403-J Hutcheson Hall  Free Short Courses  R tutorial; Structural Equation Modeling; Plotting Data

Requesting a LISA Meeting  Go to  Click link for “Collaboration Request Form”  Sign into the website using VT PID and password  Enter your information  , college, etc.  Describe your project (project title, research goals, specific research questions, if you have already collected data, special requests, etc.)  Contact assigned LISA collaborators as soon as possible to schedule a meeting

Course Outline  QPLOT() Function  Layer Based Graphics  Pros and Cons of GGPLOT

Purpose of GGPLOT GGPLOT was created to make building plots in R easier. It uses the science of aesthetics to easily make plots that are much more aesthetically pleasing to the eye.

QPLOT() The qplot() function in the GGPLOT2 package is made to work similarly to the plot() function in R. Code

Layer Based Graphics  GGPLOT uses “layers” to build graphics  Drug in medical experiment  Settings on machine producing tires  Different types of political advertising to encourage voting  Think of it as a linear equation to building plots  First, tell it where the data come from  Second, tell it what kind of graph you want and how to group the data  Third, customize the graphs other features (Title, axis, etc.)

Pros & Cons of GGPLOT  Hard to customize certain features  Background grey  Grouping colors  Pro: The grouped colors will never look bad, just aren’t always customized.