R Workshops

Jul 16

Statistics and Graphs in R

1:00pm to 5:00pm

Location: 

Rm K018, 1737 Cambride St (CGIS Knafel Building)

This free workshop is available only to Harvard and MIT affiliates. Click here to register.

This workshop offers a crash course on graphics and regression models in R. Topics covered include multiple regression, model comparison, mixed-effects models, and the construction of graphical displays using the ggplot2 package. This is an intermediate workshop appropriate for those already familiar with R.

Workshop materials can be downloaded from http://j.mp/r-stats and http://j.mp/r-graphics

Jul 09

Accelerated Introduction to R

1:00pm to 5:00pm

Location: 

Rm K018, 1737 Cambride St (CGIS Knafel Building)

This free workshop is available only to Harvard and MIT affiliates. Click here to register.

This accelerated introduction will help you quickly get up to speed with the R statistical computing language. We will introduce the basics of the R language syntax, data import and management, package installation, and basic programming concepts including functions, classes and methods, iteration, and debugging. No prior R knowledge is required, but previous experience statistical or technical computing (e.g., Matlab, SAS, Stata, Python, and of course R) will be helpful.

Workshop materials can be downloaded from http://j.mp/intro-r and http://j.mp/r-prog

Jan 16

Introduction to R - ComputeFest 2013

(All day)

This is an INTRODUCTION to R. We assume no/very little knowledge of R!

Learning objectives:

  • Install and load R packages
  • Find package and function documentation
  • Load external data into R
  • Create and query vectors, matrices, and data frames
  • Compute descriptive statistics and regression models
  • Construct basic graphical displays
Nov 14

Introduction to R Graphics with ggplot2

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

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.

Spring 2014 Schedule

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

Nov 21

R Programming

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

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 covers blocks, loops, program flow, functions,S3 classes and methods, and debugging in R. This workshop is intended for those already comfortable with using R for data analysis who wish to move on to writing their own functions. 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!

Nov 07

R Regression Models

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

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.

 

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

Oct 31

Introduction to R

9:00am to 12:00pm

Location: 

Rm K018, 1737 Cambridge St (CGIS Knafel Building)

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!