## 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.

May 01, 2015 to May 29, 2015 October 09, 2015 to November 06, 2015 April 29, 2016 to May 27, 2016 October 07, 2016 to November 04, 2016 May 05, 2017 to June 02, 2017 October 06, 2017 to November 03, 2017 May 04, 2018 to June 01, 2018 October 05, 2018 to November 02, 2018

Thank you for your submission.

taught by Paul Murrell

The aim of this online course, “Graphics in R,” 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.

- An overview of R Graphics
- Functions for producing standard plots
- Controlling colour, fonts, etc

- Adding extra data or labels to a plot
- Mathematical formulas on plots
- Plotting multiple plots on a page

- Lattice formulas
- Multipanel displays
- Panel functions
- Customising lattice plots

- Graphical primitives and units
- Viewports and layouts
- Customising lattice plots

HOMEWORK:

Homework in this course consists of guided exercises in producing graphs.

In addition to assigned readings, this course also has supplemental readings available online, and practice exercises.

May 01, 2015 to May 29, 2015 October 09, 2015 to November 06, 2015 April 29, 2016 to May 27, 2016 October 07, 2016 to November 04, 2016 May 05, 2017 to June 02, 2017 October 06, 2017 to November 03, 2017 May 04, 2018 to June 01, 2018 October 05, 2018 to November 02, 2018

**Course Fee: $549**

Do you meet course prerequisites? What about book & software? (Click here to learn more)

**Tuition Savings:** When you register online for 3 or more courses, $200 is automatically deducted from the total tuition. (This offer cannot be combined and is only applicable to courses of 3 weeks or longer.)

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.

taught by Paul Murrell

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.

Introductory/Intermediate

These are listed for your benefit so you can determine for yourself, whether you have the needed background, whether from taking the listed courses, or by other experience.

Participants should have a basic familiarity with R, such as that provided by the statistics.com course Introduction to R. Note that the course will work only with the R command line (rather than any of the R GUI options).

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.

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.**Time Requirement**: about 15 hours per week, at times of your choosing.

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

- You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
- 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.
- 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.

The course text is *R Graphics* by Paul Murrell, which you can order 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.

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.

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