Stocker to Offer Workshops on R Program for Statistics(1)

Posted on 2/5/2019 8:03:35 AM

The S-COAM program is offering two workshops on using the software R for statistical computing and graphics, led by Russell Stocker. The workshops will be on February 11 and 18 from 3:00 to 4:30 p.m. in Stright Hall, room 220.

R is a free statistical software package that is extensively used in both academia and industry. It is an open source platform that has over 13,000 contributed packages. Associated with R is the integrated development environment, RStudio.

In this two-day workshop, we introduce the major components of these packages. Participants should have an introductory statistics background that includes knowing how to construct confidence intervals and conduct hypothesis tests. Below are additional details about the workshop by day.

Day 1: Feb. 11, 3:00–4:30 p.m.

On day 1 we begin by giving an overview of R and RStudio. This includes showing where to download these software packages and how to install them. Next, we will go through several examples that demonstrate the following:

  • How to properly create data sets and read them into RStudio.
  • How to find descriptive statistics either by using or not using a grouping variable.
  • How to construct graphics such as histograms, box plots, and scatter plots.
  • How to construct confidence intervals and perform hypothesis tests for one- and two-population mean problems. 
  • How to perform a one-way ANOVA analysis.
  • How to perform a simple linear regression analysis. 

Participants will then be given a chance to practice these skills by working through several problems.

Day 2: Feb. 18, 3:00–4:30 p.m.

On day 2 we focus on how to use the tools in the collection of packages called tidyverse to work with a modified version of a data frame called a tibble. This includes making advanced graphics using the functions in the ggplot2 package. We will also demonstrate additional statistical modeling and inference procedures that include the following:

  • How to conduct one- and two-sample inference procedures associated with population proportions. 
  • How to analyze contingency tables.
  • How to perform a logistic regression analysis. 

Participants will then be given a chance to practice these skills by working through several problems.

Space is limited due to the size of the computer classroom; so, if you are interested, please sign up online.

Department of Mathematical and Computer Sciences

Scholarships Creating Opportunities for Applying Mathematics (S-COAM) project