R Workshops

Sep 11

Introduction to R

1:00pm to 4:00pm

Location: 

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

Get an introduction to R, the open-source system for statistical computation and graphics. With hands-on exercises, learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create common graphical displays. This workshop is appropriate for those with little or no prior experience with R.

Sep 25

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!

Oct 02

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 R course will guide users through a variety of programming functions in the open-source statistical software program, R.  This workshop is free for Harvard and MIT affiliates. Click here to sign up!




Sep 18

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!

Sep 11

Introduction to R

9:00am to 12:00pm

Location: 

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

Get an introduction to R, the open-source system for statistical computation and graphics. With hands-on exercises, learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create common graphical displays. This workshop is appropriate for those with little or no prior experience with R.

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