R Workshops

Feb 19

Introduction to R Graphics with ggplot2

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

Instructor: Ista Zahn

This introduction to the popular ggplot2 R graphics package will show you how to create a wide variety of graphical displays in R. Topics covered included aesthetic mapping and scales, faceting, and themes. This is an intermediate level workshop appropriate for those already familiar with R. Participants should be familiar with importing and saving data, data types (e.g., numeric, factor, character), and manipulating data.frames in R.

This workshop is free for Harvard and MIT affiliates. Click here to sign up!

Feb 26

Basic R Programming for Data Analysis

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)
Instructor: Ista Zahn
This hands-on, intermediate course will guide you through a variety of programming functions in the open-source statistical software program, R. It is intended for those already comfortable with using R for data analysis who wish to move on to writing their own functions. To the extent possible this workshop uses real-world examples. Concepts will be introduced as they are needed for a realistic analysis task. In the course of working through a realistic project we will lean about interacting with web services, regular expressions, iteration, functions, control flow and more.

Prerequisite: basic familiarity with R, such as acquired from an introductory R workshop.

This workshop is free for Harvard and MIT affiliates.   Click here to sign up!




Feb 12

R Regression Models

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)
Instructor: Ista Zahn

This hands-on, intermediate R course will demonstrate a variety of statistical procedures using the open-source statistical software program, R.  Topics covered include multiple regression, multilevel models, and multiple imputation. We expect that users enrolled in this course are already familiar with the statistical processes that we cover and are interested in learning how to run these procedures in R. Prerequisite: Basic familiarity with R, such acquired through an introductory R workshop.

A limited number of lab computers will be available. If you bring your laptop please install R (http://cran.r-project.org/) and RStudio (http://www.rstudio.com/products/rstudio/download/) prior to the workshop. 

This workshop is free for Harvard and MIT affiliates. Click here to sign up!