This Thursday (Jan 24th), 5:30pm, the good folks at Wajam are hosting a meetup of the Montreal R User Group.
The event will be at Bolidea at 4115 St Laurent, Montréal, QC. Be sure to RSVP.
From Benjamin Rollert:
This is an opportunity for people interested in R to hang out at our office, eat pizza and drink beer! We’ll also show some of the cool stuff we’ve done with R as part of live applications for our business intelligence.
Hope to see you there!
After a bit of a summer lull, the Montreal R User Group is meeting up again! We’re trying out a new venue this time. Notman House is the home of the web in Montreal. They hold hackathons and other tech user group meetups, and they are all around great people in an all around great space in downtown Montreal.
Our meetup will feature R super-user Etienne Low-Decarie, who will give a walk through of some of the most powerful packages in R, many of which were built by rstats rock star Hadley Wickham.
I will also kick off the meetup with a short session on how R is revolutionizing data science in academia, journalism, business and beyond.
Don’t forget to RSVP. Hope to see you there!
guRu: Ramnath Vaidyanathan (McGill University)
Ramnath Vaidyanathan will introduce the group to slidify, his brand new R package.
From the slidify website:
“The objective of slidify is to make it easy to create reproducible HTML5 presentations from .Rmd files. The guiding philosophy of slidify is to completely separate writing of content from its rendering, so that content can be written once in R Markdown, and rendered as an HTML5 presentation using any of the HTML5 slide frameworks supported.”
The package is currently in alpha and therefore not yet available on cran. You can find install instructions here.
Ramnath Vaidyanathan is Assistant Professor of Operations Management at McGill University’s Desautels Faculty of Management.
This is a meeting of the Montreal R Users Group. We’re open to everyone! Sign up to RSVP!
Stewart Biology Building, McGill University (Rm N4/17) Monday, April 24, 2012 14h-16h
Dr. Arthur Charpentier (UQàM)
In this workshop we will examine difference concepts related to quantiles, and practical issues based on R codes.
This workshop will present quantile regression, and the idea of iterative least square estimation. It will present an illustration on climate change and hurricanes.
We will build on ideas presented in the workshop on Likelihood Methods, on least square regression.
The goal of this workshop is to present nice application of quantiles, and outlier detection.
That being said, a basic working understanding of R is assumed. Knowledge of functions and loops in R will be advantageous, but not a must. There will be connections at the end of the workshop with principal component analysis.
For more info go here, or register here.
bayesianbiologist 