Introduction to R - Data Handling

taught by Paul Murrell

Brief Description:

This course will provide an easy introduction to R and its use in organizing and exploring data. Once you've completed this course you'll be able to enter, save, retrieve, manipulate, summarize and display data using R.

See also the related course Introduction to R-Statistical Analysis, which is an introduction to the use of R for executing statistical tests and procedures.

Instructor(s):
Level: introductory/intermediate

Who Should Take This Course:

Anyone who wants to wants to learn the fundamentals of data handling and programming in R.

Dates:
July 27, 2012 to August 24, 2012September 28, 2012 to October 26, 2012March 01, 2013 to March 29, 2013May 10, 2013 to June 07, 2013August 02, 2013 to August 30, 2013November 08, 2013 to December 06, 2013
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Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

Register Online -$499
Register Online -$399 (you must be affiliated with a college, university or high school)

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Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise. Multiple course registrations may be entitled to tuition discounts; read more.

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Introduction to R - Data Handling

taught by Paul Murrell

Aim of Course:

This course will provide a basic introduction to R, and its use in organizing and exploring data. The emphasis is on understanding and working with fundamental R data structures and we will introduce some basic R programming techniques. Once you've completed this course you'll be able to enter, save, retrieve, manipulate, and summarize data using R; you will also have the proper foundation to build your programming skills in R and take advantage of the full power of R.

Please see also our course Introduction to R-Statistical Analysis, which is suitable for those needing to get up to speed very quickly in certain standard statistical analysis routines, without a systematic introduction to programming.

This course is a core requirement or elective in the following Program(s) in Analytics and Statistical Studies (PASS):

• Using R

Prerequisite(s):
There is no statistical requirement. Having written computer code before would be helpful, but this is not assumed.
Course Program:

SESSION 1: Getting Started with R

• The R command line
• Function calls, symbols, and assignment
• Packages
• Getting help on R

SESSION 2: Data Structures and Subsetting

• Data Types and data structures
• Subsetting data
• Type coercion

SESSION 3: Import/Export and Data Manipulation

• Text files, XML, Spreadsheets, and binary files
• Large data sets
• Tabulating and aggregating

SESSION 4: Advanced Data Manipulation

• Merging, Splitting and Reshaping
• Text Processing
• Data Formatting

HOMEWORK:

Homework in this course consists of guided exercises in writing code.

Organization of the Course:

This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

The course text is Introduction to Data Technologies by Paul Murrell. It that may be purchased from the publisher Chapman Hall here. For a discount from the publisher, submit this form. The text is also available online here in both PDF and HTML formats.

Software:

You must have a copy of R for the course. Click Here for information on obtaining a free copy.

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Introduction to R - Data Handling

taught by Paul Murrell

Instructor(s):
Dates:
July 27, 2012 to August 24, 2012September 28, 2012 to October 26, 2012March 01, 2013 to March 29, 2013May 10, 2013 to June 07, 2013August 02, 2013 to August 30, 2013November 08, 2013 to December 06, 2013
Course Fee: $499
Academic Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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