R Programming
Ista Zahn, Statistical Trainer, Harvard-MIT Data Center
Wed Feb 1, 01-04:00pm, 1-115
Enrollment limited: advance sign up required (see contact below)
Signup by: 30-Jan-2012
Limited to 23 participants.
Single session event
Prereq: Familiarity with basic programming concepts such as looping,
This hands-on, advanced R course will guide users through a variety of programming techniques in the open-source statistical software program, R.
Prerequisites: Familiarity with basic programming concepts such as looping, conditional branching, classes, and functions.
Topics covered will include:
- Blocks, loops, functions, if/then statements
- Objects and lists
- Timing and random variable generating functions
- Using C, C++, and Fortran functions
- Interactive batch use
- Debugging: traceback, debugger
- Memory and time profiling: Rprof, proftools, profr
- Using Parallelism: Rmpi, Snow, calling R from Python
Note: Current MIT faculty, students, and staff only. Please register at: http://info-libraries.mit.edu/events/.
Contact: Katherine McNeill, E53-168c, x3-0787, mcneillh@mit.edu
Sponsor: Libraries
Latest update: 08-Dec-2011
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