Perhaps you could circulate this? *Online courses in R from Statistics.com* *Basic programming courses: *
- R Programming - Intro 1 <http://www.statistics.com/R-Prog-Intro-1> (Dr. Paul Murrell, instructor - core development team for R and author of *R Graphics *and *Introduction to Data Technologies*) This course introduces the basic concepts in computer programming via R - it is for those who have had little or no experience in programming. Students will learn how to get going in R from the beginning, understand file formats and basic R syntax, and learn about using text editors to write code. They will learn how to read in files, use symbols and assignments, and iterate simple loops. The course closes with discussion of data structures and subsetting. - R Programming - Intro 2 <http://www.statistics.com/r-prog-intro-2/> (Mr. Joris Mays, instructor - coauthor of *R for Dummies*) This course continues the introduction to R programming. Students will learn how R works with numeric vectors and special values, and how to deal with special values. They will start working with R to handle text data, and learn about regular expressions, dates, classes and generic functions, as well as matrices, data frames and lists. *Beyond basic programming:* For those who have been working and using R - the instructor for both of these courses is Dr. Olivia Lau from Google. - R Programming - Intermediate <http://www.statistics.com/r-courses/course-catalog/R-Prog-Interm/> (One year of daily R use required before taking this course) This course is intended for experienced data analysts looking to unlock the power of R. It provides a systematic overview of R as a programming language, emphasizing good programming practices and the development of clear, concise code. After completing the course, students should be able to manipulate data programmatically using R functions of their own design. - R Programming - Advanced <http://www.statistics.com/r-courses/r-program-adv/> (Two years of daily R use required before taking this course) This course covers key concepts for writing advanced R code, emphasizing the design of functional and efficient code. It will set students down the road to mastering the intricacies of R. After completing the course, students should be able to read, understand, modify, and create complex functions to perform a variety of tasks. *Other topic specific courses in R:We have a full curriculum of courses in R (Graphics in R, Mapping in R, Spatial Analysis in R, more). This page groups and describes our R courses:http://www.statistics.com/r-courses/ <http://www.statistics.com/r-courses/>All courses include:* - Expert instructors who answer questions on a daily basis - Work on practical exercises and individualized feedback - Class size which allows interaction with instructor and fellow students We specialize in personal attention and value pricing. Each course lasts 4 weeks and consists of readings, supplemental materials, exercises, and a private discussion forum with fellow students and the instructor. There are no set hours to be online, and we estimate the workload to be about 15 hours per week. This is not a 'MOOC' (massive open online course) -- enrollment is limited, and the instructor will respond to each question that you ask. *Pricing:* Depending on how many participants and how many courses you are interested in, we can offer an institutional rate. The commercial price for the R Programming courses ranges between $549/person for the intro courses to $629/person for the advanced/ topic focused courses. Each course has a text requirement which can be viewed under the "requirements" tab of each course description page. If you need help with this, just let me know and I can put a chart together for you. -Janet Janet Dobbins Vice President of Marketing and Communications 612 N. Jackson St. Arlington, VA 22201 703.431.3874 - mobile 703.522.5410 - office 703.522.5846 - fax janet.dobbins1 - skype jdobb...@statistics.com Follow us on Facebook <https://www.facebook.com/pages/statisticscom-The-Institute-for-Statistics-Education/153157148097998> , Twitter <https://twitter.com/statisticscom>, LinkedIn <http://www.linkedin.com/company/statistics-com-the-institute-for-statistics-education?trk=hb_tab_compy_id_1737759> [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
