Data Analysis in R

Date/Time
Date(s) - 23/11/2020
16:00 - 18:00

Instructor
Raphaël Morsomme

Categories

• Workshops

Organizer: Raphaël Morsomme

UCM alumnus, I am currently a Ph.D. candidate in statistical sciences at Duke University, USA. My academic interests lie in Bayesian statistics, conformal prediction and recent advances in Markov Chain Monte Carlo methods.

Workshop description:

My goal is to provide the participants with the tools to clean, model and visualize their data with the software R.

Note that participants are not expected to have any experience with R.

What are the methodology and/or methods that the workshop will cover?

We will cover the whole process of quantitative data analysis, from reading in the data into the computer software to producing numerical and graphical summaries of the resulting model.

To participate in this workshop, you will need to prepare the following material(s):

• Have the softwares R and RStudio installed on your machine (see https://cloud.r-project.org/). To make sure that they are correctly installed, follow an introductory tutorial online (e.g. Youtube).
• Participants are not expected to have any experience with R. Yet, to get the most out of the workshop, participants can follow an introduction tutorial online – there are many options available.

At the end of this workshop, you will have obtained the following skills:

• The participants will be able to do the following with their data set on R:
  • Importing the data set into R
  • Cleaning it
  • Modeling it
  • Visualizing the results

Workshop format:

I will hold a 2h live session on Zoom during which we will go through a script showing how to analyze quantitative data with R from A to Z.

– – Registrations are currently open for anyone, regardless of whether they are a student in Research Methods 2 or not. Final registrations close on Monday 23 November 2020 at noon. – –

Bookings