Academic

  • Free Statistics Workshops - March 2022

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    FREE STATISTICS WORKSHOPS – MARCH 2022
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    Please join us for a free, 3-workshop series covering data cleaning, data manipulation in R, and an introduction to statistics in R.
    Where and When
    All workshops will be held remotely, via WebEx, on March 28th, 29th, and 30th
     
    Workshop 1. Data preparation, cleaning & manipulation
    Date: Monday, March 28th at 3:00PM (2 hours)
    Details: Learn how to structure your data for statistical analysis in R (or any statistical software). Find out what to look out for when cleaning data prior to starting your statistical analysis. How should you label your columns? What is the best way to format dates? How should you indicate missing values? How can you create new variables from existing variables in your data frame? How can you subset your data?
     
    Workshop 2. Statistical analysis in R I
    Date: Tuesday, March 29th at 3:00PM (2 hours)
    Details: We will discuss important considerations prior to starting statistical analyses. When is the time to start thinking about statistical analysis? What are some key misconceptions about p-values? We will also introduce some statistical techniques in R using the palmerpenguins data for our examples.
     
    Workshop 3. Statistical analysis in R II
    Date: Wednesday, March 30th at 3:00PM (2 hours)
    Details: Learn how to implement commonly-used statistical procedures in R, including t-tests, ANOVA, linear regression, chi squared tests, and logistic regression.
    Sign Up
    Please sign up for workshops here: https://statsconsulting.uconn.edu/workshop-schedule/
    Supporting files will be provided prior to the workshop, so please sign up soon!
    Setting Up
    Please ensure that you have R and Rstudio installed on your computer (see below). It is a good idea to install the WebEx application too (rather than relying on your browser).
    Questions
    Please contact timothy.e.moore@uconn.edu with any questions.
     
    Installing R and Rstudio
    Windows
    Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select “Run as administrator” instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
    MacOS
    Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
    Linux
    You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run ‘sudo apt-get install r-base’ and for Fedora run ‘sudo dnf install R’). Also, please install the RStudio IDE.
    For more information, contact: Dr. Moore at timothy.e.moore@uconn.edumail

If you have any questions, please contact Economics Advising Office at 860-486-3022.