R Workshops

Introduction to R - ComputeFest 2013

Jan 16 (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

Introduction to R Graphics with ggplot2

Apr 25, 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

Fri, 02/21/2014: 9am-Noon
Fri, 04/25/2014: 9am-Noon

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

R Programming

May 02, 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.

Spring 2014 Schedule

Fri, 02/28/2014: 9am-Noon
Fri, 05/02/2014: 9am-Noon

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

R Regression Models

Apr 18, 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.

 

Spring 2014 Schedule


Fri, 02/14/2014
Fri, 04/18/2014

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

Introduction to R

Apr 11, 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.

Spring 2014 Schedule

Fri, 02/07/2014: 9am-12pm
Fri, 04/11/2014: 9am-12pm

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