Introduction to Data Manipulation, Analysis, and Visualization with R

Patrick Grof-Tisza

Introduction

• Who and why?• Disclaimer

• Objectives – Become familiar with the

R environment– Syntax – Self directed learning– Build function library

Workshop Series Outline

Workshop 1• R studio tutorial• Basic syntax• Vectors• Data frames• Functions • Basic plots• Best practices

– Meta data– Annotating script

Workshop 2• Importing data• Manipulating (cleaning)

data • Visualizing data• Basic statistical models• Plotting models

The Sell

What is R?• Open-source, data analysis

software• Object-oriented

programming language

Why use R?• It is free• Repeatability• Graphics and data visualization• Versatility • Community

– International– Local

• Davis R Users Group(http://www.noamross.net/davis-r-users-group.html)

The Sell

What is R?• Open-source data analysis

software• Object-oriented

programming language

Why use R?• It is free• Repeatability• Graphics and data visualization• Versatility • Community

– International– Local

• Davis R Users Group(http://www.noamross.net/davis-r-users-group.html)

Homework

• Install packages– MASS– Lattice– Vioplot

• Download workshop.csv file– http://patrickgroftisza.weebly.com/

Census site ; 2x daily