UNIVERSITY PARK, PA. — Beginning April 1, the Research Informatics and Publishing department at Penn State University Libraries will offer a series of five workshops on statistical analysis in the programming language R. These workshops will provide instruction on using R for statistical analysis and data visualization.
The workshops are free and open to Penn State undergraduate and graduate students, postdoctoral scholars, faculty and staff. Beginner knowledge of R is recommended. Prior to the start of the workshops, registrants will be given instructions for accessing R.
All workshops will be held virtually via Zoom. Advance registration is required. Register for this workshop series here. Each session builds on the previous one, so registration for the entire series is required. Registration will close March 31.
If you need additional information, contact Research Informatics and Publishing at repub@psu.edu.
Workshop Schedule
Basics of RStudio Refresher — April 1, 2–4 p.m.
This session will give a basic refresher of core concepts for using the RStudio software program, such as data wrangling and loading data and packages.
Exploratory Data Analysis and Making Visualizations — April 8, 2–4 p.m.
This session will introduce how to run exploratory data analysis and make data visualizations using the open-source data visualization package ggplot2.
Introduction to Inferential Statistics — April 15, 2–4 p.m.
This session will introduce inferential statistics including the chi-square, t-test, Kruskal-Wallis and Mann–Whitney test.
ANOVA — April 22, 2–4 p.m.
Participants will have the opportunity to learn how to run ANOVA, ANCOVA and MANOVA for their data analysis.
Regression Analysis — April 29, 2–4 p.m.
Learn regression analysis, when to use contrast and dummy coding and the differences between regression and ANOVA.