INTD1095A-W10
Statistical Computing with R
Statistical Computing with R
This course offers an intensive introduction to the R statistical programming environment. Students will learn to use a modern programming language that incorporates object-oriented programming. Topics will include data frames, the R environment, the graphics system, probability distributions, descriptive statistics, statistical tests and confidence intervals, regression, ANOVA, tables of counts, simulation, and selected topics in statistical programming. (One course in statistics or one course in computer programming).
This course offers an intensive introduction to the R statistical programming environment. Students will learn to use a modern programming language that incorporates object-oriented programming. Topics will include data frames, the R environment, the graphics system, probability distributions, descriptive statistics, statistical tests and confidence intervals, regression, ANOVA, tables of counts, simulation, and selected topics in statistical programming. (One course in statistics or one course in computer programming).
- Term:
- Winter 2010
- Location:
- Warner Hall 507(WNS 507)
- Schedule:
- 10:00am-12:00pm on Monday, Tuesday, Wednesday, Thursday, Friday (Jan 4, 2010 to Jan 29, 2010)
- Type:
- Lecture
- Instructors:
- John Emerson
- Subject:
- Interdepartmental
- Department:
- Interdepartmental
- Division:
- Interdisciplinary
- Requirements Fulfilled:
- DED WTR
- Levels:
- Undergraduate
- Cross-Listed As:
- MATH1095A-W10
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 11259
- Subject Code:
- INTD
- Course Number:
- 1095
- Section Identifier:
- A