Departments of Microbiology and Statistics, The University of Manitoba

“Levelling up R for Statistical Research and Teaching (Vignettes from RStudio::Conf)”

Date: Thursday, February 28, 2019
Time: 2:45 p.m.
Location: P230 Duff Roblin

The R programming language quickly became the languages of choice for statisticians as well as many others that deal in ‘data science’ and related data-heavy sciences such as biology or psychology. For many users it is their first and only computer language, and a passionate community has sprung up. The past eight years have seen the development of RStudio, a free and open-source integrated development environment, and the “tidyverse" suite of packages (including ggplot2). Both of these initiatives have further lowered the bar for novice users to become proficient coders. Speaking as a 15-year base R user, I’ll describe several vignettes from the RStudio Conference that suggest teaching and using the ’tidyverse’ over strictly base R can assist new and experienced R users. I’ll also demonstrate how the R Studio Cloud, which allows many users to exactly reproduce the same environment and run R Studio directly from a browser can be used effectively to teach R in the context of an undergraduate course.

Important Dates

February 18: Louis Riel Day (University Closed)

February 18 – February 22: Reading Week (No classes)

Upcoming Seminars

Statistics seminar: Aleeza Gerstein: “Levelling up R for Statistical Research and Teaching (Vignettes from RStudio::Conf)” — Thursday, February 28 at 2:45 p.m., P230 Duff Roblin.

Statistics seminar: Jame Fu: “Distribution of number of Levels in [s]-specified random permutation: A finite Markov Chain Imbedding Approach” — Thursday, March 7 at 2:45 p.m., P230 Duff Roblin.

Statistics seminar: Alison Gibbs: “Teaching Statistics in a Data Science World” — Thursday, March 21 at 2:45 p.m., P230 Duff Roblin.

Where are they now?

John Petkau, B.Sc. Mathematics & Statistics (1971)

Mostofa Sarkar, M.Sc. (2012)