110: Data Analysis With R

DAY
August 07, 2014
Time & Place
8 a.m.-3:50 p.m.
Level
Introductory
CE Credits
7
Enrollment Limit
30
Description
R is a free software environment for statistical computing and graphics that is gaining popularity because of its flexibility, capacity for generating informative high-quality graphics, wide-ranging pre-programmed statistical methods and large active online community. However, because R is syntax based, it has a steeper learning curve. This hands-on introductory workshop introduces participants to data analysis in R through a series of exercises designed to make this transition as gentle as possible. No prior knowledge of R or programming is assumed.
Learning Objectives
1. Apply R for data analysis.
2. Conduct statistical analyses using R.
3. Apply the basic of Object Orientated Programming and syntax.
4. Produce publication quality and scalable graphics.
5. Recognize data structures and how they relate to statistical analyses.
6. Describe the benefits of R in comparison to other statistical software.
7. Compile a list of functions and packages that will be useful for running basic statistical analyses.
Instructor(s)
Matthew J. Sigal, MA, and Carrie E. Smith, MA, BS, York University, Toronto, Ontario, Canada
Pricing

Enrollments are accepted on a first-come, first-served basis.

Advance: April 15-June 30, 2014

Member Non-member
Half day (3 hours) $110 $130
Half day (4 hours) $130 $160
Full day (7 hours) $220 $260

Regular: July 1-Aug. 5, 2014

Member Non-member
Half day (3 hours) $130 $160
Half day (4 hours) $160 $200
Full day (7 hours) $275 $335

On-site: Aug. 6-10, 2014

Member Non-member
Half day (3 hours) $160 $190
Half day (4 hours) $190 $240
Full day (7 hours) $330 $410