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A Jump-start to R for Statistical Programmers and Analysts

October 18, 2017 @ 12:00 pm - 1:00 pm

Presenter: Kelly McConville, Swarthmore College

This webinar will provide an introduction to the statistical programming language, R. It will be geared toward statistical programmers and analysts who are new to R. We’ll address why R is an attractive program to use and will provide tips and materials to get started. For each step of the data analysis process (data wrangling, visualization, modeling, etc.), we will go through useful R functions and packages and will see examples of executing these steps in R. In particular, we will use the dplyr package for data wrangling, the ggplot2 package for visualization, and the caret package for modeling. We will also discuss and compare the different coding philosophies within the R community, such as base R versus the tidyverse. We will explore how to develop a reproducible workflow using R Markdown documents, which seamlessly weave together text, code, and output. After this webinar, participants will have the necessary tools to get started in R.

It is recommended that the participants install R or R studio download before the session in order to enhance the learning experience.

Registration is limited. Lunch will not be provided, however you are more than welcome to bring your own.

Please RSVP by: Friday, October 6, 2017


October 18, 2017
12:00 pm - 1:00 pm


Bloomberg School of Public Health
615 North Wolfe Street
Baltimore, MD 21205 United States
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