1. STAT 4030 – Programming in R Introduction
Jennifer Lewis Priestley, Ph.D.
Kennesaw State University 1

2. Introduction to R Website and Syllabus R Day at KSU – November 18
My expectations of you
Your expectations of the class
Brief review of STAT3010 2 2 2

3. Introduction to R
R is available at the following website:
I will be using R Studio.

4. There is an introduction to R available on the CRAN R-project website.
intro.pdf
I recommend downloading this document and getting acquainted with it. 4

5. Introduction to R 5 5 Data Management
Install and update R and associated add-on packages.
Perform basic object-oriented computing using vectors, factors, matrices, data frames and arrays.
Import and export data into and from R using various data file protocols.
Perform basic data management tasks including recoding variables, converting data types, merging data, etc.
Perform intermediate computing tasks such as conditional processing statements, and loops.
Statistical Analysis
Execute simple univariate and bivariate tests, including ttests, ANOVA, correlation, chi square.
Execute simple multivariate regression models.
Create simple data visualizations including Histograms, Boxplots, Barcharts, Pie Charts.
Social Media Analysis
Access and scrape Twitter to find trends by topic and by location.
Execute basic Text Analysis.
Missing Values have not been reported. For each Category:
Outside = 344 (5.9% of total)
Inside = 665 (11.47%)
Out of bed = 659 (11.36%)
Eating = 402 (6.93%)
Bathing = 321 (5.54%)
Toileting = 649 (11.19%)
Dressing = 522 (9.00%) 5 5

6. Introduction to R Notes about assignments: Hands On Exercises
Practice only – no grade – work together
Homeworks
Graded – feel free to work together but everyone turns in their own assignment
Midterm Exam (take home)
Graded – work alone
Final Project (take home)
Graded – you can work in declared pairs (sink or swim together) 6