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.
- November 14th, 7pm at 51 Sherbrooke W.
- BYOL&D (Bring Your Own Laptop & Data)
Don’t forget to RSVP. Hope to see you there!
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.
The participant will:
1) Basics on quantiles: definition, use of quantiles for monte carlo simulation, boxplots, confidence intervals, etc.
2) Present quantile regression and estimation issues. Application to hurricanes.
3) Get an introduction of outliers, bagplot and multivariate quantiles
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.
March 12, 2012 14h-16h N4/17 Stewart Biology Building, McGill University
Étienne Low-Decarie, McGill University
This workshop is organized by the BGSA and is free of charge (!), but space is limited. Register early to ensure your spot!
- Ever want to split your data according to factors, apply a function on each part and combine all the results into a consistent output?
- Want a table of the slope for each year of your sampling data?
- Want a plot for each level of your treatment?
- Want to transform your data (e.g.: standardization)?
- And want the high speed benefits of parallelization to boot?!
If yes, come out the the workshop!