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.

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. The creation of standard plots such as scatterplots, bar plots, histograms, and boxplots will be covered and time will be spent on the underlying model used to produce plots in R so that you can extensively customize these plots.
Instructor(s):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.
Dates:Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.
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.
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.
Prerequisite(s):
This course takes place over the internet, at statistics.com 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 you will receive individual feedback on your homework answers.
As you begin the class, you will be asked to specify your category.
This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a record of course completion will be issued by Statistics.com, upon request.
The course text is R Graphics by Paul Murrell. You may order it from the CRC Press website by clicking here, 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). Be sure to purchase your copy of the text prior to 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.