February 18: Louis Riel Day (University Closed)

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

Date: | Thursday, February 28, 2019 |
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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)