Flexible, affordable statistics education.
Designed to help you master the software you need to enhance your skills and the practical experience you need to get ahead.
Designed to help you master the software you need to enhance your skills and the practical experience you need to get ahead.

October 18, 2013 to November 15, 2013 May 02, 2014 to May 30, 2014 October 03, 2014 to October 31, 2014
Graphics in R
taught by Paul Murrell
Aim of Course:The aim of this course is to teach you how to produce statistical plots of data using the R language and environment for statistical computing and graphics.
We will cover the creation of standard plots such as scatterplots, bar plots, histograms, and boxplots and we will spend some time on the underlying model used to produce plots in R so that you can extensively customize these plots.
We will also look at producing Trellis plots in R and how to customize them.
Finally, we will introduce the grid graphics system and look at producing unique plots from the ground up using basic components.
NOTE: On the two courses "R Graphics" and "Visualization in R with ggplot2": Visualization in R with ggplot2 is more about the use of the ggplot2 package to easily produce high quality plots. R Graphics covers the core R graphics functions and the lattice package for producing plots and also looks at lower-level tools for customising plots.
Course Program:HOMEWORK:
Homework in this course consists of guided exercises in producing graphs.
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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. Those registering for multiple courses, Statistics.com's PASS students, and those affiliated with other academic institutions may be entitled to tuition discounts; read more.
Have you reviewed the REQUIREMENTS for this course?Graphics in R
taught by Paul Murrell
Who Should Take This Course:Anyone who needs to produce displays of data, whether for exploratory or confirmatory analysis.
R graphics is particularly suited to producing publication-quality plots, so this course is particularly useful for anyone who needs to produce articles or reports or even web sites containing plots.
Level:Introductory/Intermediate
This course takes place online 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.
The course text is R Graphics by Paul Murrell, which you can order from CRC Press, or by using this form. CRC Press typically gives students a generous discount when students order the text using the above form (not by ordering the text online).
PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.
Software:Course illustrations and homework assignments will use R. If you are installing R for the first time, just get the latest version. Assistants will be able to offer feedback on assignments completed using R. For information on obtaining R, click here.