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Usage of RStudio – Part 2
April 15, 2022 @ 11:00 am - 4:00 pm$225
A 5-hour workshop taught by Mariola Moeyaert, Ph.D.Register
This hands-on workshop is designed to introduce RStudio to those who are looking to use RStudio for applied data analyses. No prior knowledge of RStudio is assumed. Topics include importing and exporting data, data coding, cleaning and management, as well as how to perform basic descriptive and inferential statistical analyses and data visualizations. The instructor will share detailed content slides, practice data sets, and annotated R code with the participants.
This workshop will help participants understand the fundamentals of how RStudio “operates” so that they can begin to use RStudio independently. The workshop focuses on basic R functions and practical issues like installing and loading packages, getting help, importing data, data manipulations, data analyses and data visualizations.
Pricing and schedule
Day 1: Thursday, April 14, 11AM to 4PM (EST)
Day 2: Friday, April 15, 11AM to 4PM (EST)
Cost: $225 for one day ($400 for 2 days with multiple workshop discount. Email to request discount code.)
We offer $50 discounts for graduate students and $25 discounts for multiple workshop enrollments. Find out about our discounts here.
The main workshop material is scheduled for 10 hours, divided over 2 days. Time permitting, Dr. Moeyaert will answer questions about participants’ specific research projects. Participants can ask questions via chat, microphone, or telephone. In order to allow sufficient time for questions, the number of workshop participants is limited to 30.
Who should attend?
This workshop is designed for those who want to become fluent in using RStudio for basic and intermediate applied statistical data analyses.
(Continued from Usage of RStudio – Part 1)
3. Data Analysis in RStudio
- Descriptive statistics
- Inferential statistics
About the instructor
Dr. Mariola Moeyaert is an Associate Professor Statistics within the division of Educational Psychology and Methodology at UAlbany. She received her PhD in Educational Statistics from the Katholieke Universiteit Leuven (KU Leuven) in Belgium and worked as a Postdoctoral fellow at the Center of Advanced Study in Education at the City University of New York. Her major research interests and publications are in the field of multilevel analysis, meta-analysis and interrupted time series analysis. She is also interested in Bayesian statistics, bootstrapping, structural equation modeling, longitudinal data analysis, and international comparative research. She (co)authored about 47 international publications, in such journals as Psychological Methods, Multivariate Behavior Research, Journal of School Psychology, Behavior Research Methods, School Psychology Quarterly, etc., reporting about developments in research methodology (including several computing intensive Monte Carlo simulation studies) and about applications of statistical models on educational/medical data. Currently, she is involved as PI and Co-PI in research projects funded by the Institute of Education Sciences about methodological advancements in the field of multilevel meta-analysis. You can find more information about Dr. Mariola Moeyaert by following these two links (1) https://www.