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Workshops

Workshops May 10: Model selection and dimension reduction in high-dimensional data, statistics for collaborative research grants, and repeated measure analysis

The Statistical Consulting Service (SCS) at the University of Connecticut is pleased to announce the launch of a series of three sessions that cover model selection and dimension reduction in high-dimensional data, statistics for collaborative research grants, and repeated measure analysis. In the first and last session, you will get an overview of each topic and a hands on, live demonstration of actual case studies. For the second session, you will learn how to develop a comprehensive Statistical considerations section for an external National Institute of Health (NIH) R01 research grant when collaborating with statisticians.

Location: Laurel Hall (formerly Classroom Building) 201

Sessions:

  1. Model Selection and Dimension Reduction: Dealing with High-Dimensional Analysis
  2. Statistics for Collaborative Research Grant: Strategies for Power Analysis and Statistical Plans
  3. An Overview of Repeated Measure Analysis

The workshops will be held on May 10. For further information about each workshop, please click here.

Who: Any UConn or UCHC faculty, post-doc, and graduate students.

Registration: Registration is open. There is no registration fee. Lunch will be provided to all participants in the Union Street Market (USM). All participants need to pick up lunch cards during registration on May 10. Please sign up for any sessions number (1, 2, or 3) you are interested in. Registration will be closed whenever the cap number (70 for each session) is reached.

For more information regarding registration and session, please contact the SCS workshop coordinator, Yeongjin Gwon.


Workshops April 12, 19, 26: R and RStudio software for statistical computing and graphics

SCS is pleased to announce three FREE introductory workshops that will cover the R and RStudio software for statistical computing and graphics! R is a powerful statistical computing tool sophisticated enough for leading edge statistical research while still remaining easily accessible to someone with little to no programming experience. R boasts one of the largest statistical computing toolsets and helpful online communities of any present day statistical software while remaining completely free of charge. Rstudio provides an even more intuitive programming environment for users and has a free version as well.

Where: Austin (AUST) 313

When:  5:30pm-6:30pm Wednesday: April 12, 2017, April 19, 2017 and April 26, 2017

  • Session 1: Introduction to R and Rstudio (4/12 5:30PM – 6:30PM)
  • Session 2: Introduction to R graphics with the ggplot2 package (4/19 5:30PM –6:30PM)
  • Session 3: Basic statistical analysis in R (4/26 5:30pm-6:30pm)

Who: Any UConn or UCHC faculty, students, or affiliated persons are welcome to attend.

Registration: http://merlot.stat.uconn.edu/www/consulting/workshops/register.php

Participants can sign up for one or multiple sessions. Registration will be closed whenever the cap number (45 for each session) is reached. For participants who would like to bring their laptops and follow along R and RStudio can be found for free at: https://cran.r-project.org and https://www.rstudio.com/products/rstudio/download/ .

Session 1 (4/12): Introduction to R and RStudio

This workshop will focus on the basics of the R language and Rstudio programming environment. Starting with importing data and installing packages and working up to more complicated examples which will include statistical analysis and plotting. As R contains essentially limitless capabilities the workshop will aim to use a ‘teach a man to fish’ approach to learning, giving helpful tips and tricks while also putting emphasis on how to catch coding errors and the best ways to learn new techniques available in R. This workshop would be a great primer for anyone interested in attending our two following workshops on R graphics or statistical analysis in R.

Prerequisites: No experience with coding or the R language is required.

 

Session 2 (4/19): Introduction to R graphics with ggplot2

This workshop will introduce ggplot2, an R package that can produce a wide variety of highly customizable graphical displays. Participants will understand the core concepts behind ggplot2 such as aesthetic mappings, geometric objects, facets, statistical transformations etc. Participants with practice applying these concepts through small code exercises. Finally, a gallery showing the variety of visualizations that can be done with ggplot2 shall be shown.

Prerequisites: Participants should be familiar with R dataframes, so attending Session 1 would be helpful for anyone with limited R programming experience. As there will be coding exercises, participants are strongly encouraged to bring laptops with the latest versions of R and RStudio installed. The R package “tidyverse” should be installed as well.

 

Session 3 (4/26): Basic statistical analysis in R

This workshop will introduce some basic statistical analysis using R including t-tests, nonparametric statistics, correlation, multiple regression, and ANOVA. Participants will practice applying these concepts through small code exercises.

Prerequisites: Participants should have a general knowledge of R. Session 1 would be helpful for anyone with limited R programming experience.