MicroTek - Charlotte
8848 Red Oak Blvd
Charlotte, NC 28217
9:00 a.m. Wednesday, Nov. 6, 2013
An Introduction to R for SAS, Users Many R users are new to R, but not new to analytic programming. Experienced SAS users will find that R has some similarities with SAS, but is very different in many ways and requires a different mindset to master. Once the basic differences are understood, however, SAS users will find the power and flexibility of R’s object oriented framework readily apparent. This course provides a foundation for programming in R specifically for those familiar with SAS. Knowledge of SAS and basic data analysis concepts are assumed. Course Outline 1) Overview and Introduction to Ra) The R computing environmentb) R interface, session, and language overview 2) Data Manipulation in R: Replacing the SAS Data Stepa) Data types and basic operationsb) R Data Frame = SAS Datasetc) Importing, saving, exporting, and re-using datad) Common R functionse) Vector-oriented computationf) Other Data Step equivalences 3) R programming constructsa) Loops and conditions: Replacing SAS macrosb) Object-oriented overview of R programming – lists and classes 4) Replacing Common SAS Exploratory and Manipulation Proceduresa) General overview and comparison: R Functions vs. SAS Proceduresb) PROC SUMMARY, MEANS, and CORRc) PROC FREQ and TABULATEd) PROC SORT, RANK, PRINT 5) Graphics in Ra) Basic plots and charts – converting from PROC PLOTb) Additional plotting functionsc) Modifying plots, labels, titles, and advanced customizationd) Trellis graphicse) Saving graphics and graphic formats 6) Statistics and Modeling in Ra) Overviewb) Replacing PROC TTESTc) Basic power and sample size functionsd) Replacing PROC REG, ANOVA, and GLMe) Data mining 7) Extending R with Additional Functionalitya) Writing your own functionsb) Adding librariesc) System access functionsd) Customizing your R sessione) R from the command linef) Getting help with R Disclaimer: We have the right to cancel the event for any reason at any time. Revolution Analytics will refund all monies paid for ticket sales in full in the event of a cancellation. We are not responsible for any travel related expenses incurred by attendees for this event. This includes but not limited to transportation, hotel accommodations or any other travel related expenses secured by the attendee, due to a cancellation on our part. Cancellation Policy: 30 or more days from the event date: Full refund less 10% 16-29 days from the event date: 50% refund15 or less days from the event date: No refund Note: all related transaction fees PayPal and Eventbrite are not refundablediscount offers cannot be combinedA student ID Number is not a proof of full time university enrollment to get the student’s discount. Proof of enrollment in 9 units or more on a current academic registration document will be required to receive the student's discount.
1,500.00 General Admission 1,509.95
500.00 Academic Admission 509.95
300.00 Student Admission 308.49