NRES 798 - Statistical Methods for
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- Install R from www.r-project.org
- Install the RStudio IDE from www.rstudio.com
- Install R
instructions might help. Note: depending on platform, some
tricks may be needed to make R Commander work well within RStudio. See this,
or perhaps in here
- See tutorials and other documentation in the web sites and in the
Lectures: Monday 8:30 - 9:50, Friday 11:30 - 12:50, both in
Lab: Wednesday 8:00 - 10:50, room 8-160.
No lecture on Friday 11 January.
Lab 1, Starting R
data/code site. Publisher.
Notes: Introduction and Overview
The Joy of Stats
Lab 3, Probability -- Pitcher plants
(anything here is subject to tweaking and afterthoughts, check dates for the latest versions)
About research data
management and databases. A convenient and light database manager.
Notes: Chapter 1. Intro. to probability
Lab 4, RVs and Distributions
Exam 1: 15 February. Exam 2: 15 March. Project report: 25 March. Final Exam: 10 April, 9am, Room 8-160.
Notes: Chapter 2. RVs and probability distributions
Lab 5, Distributions, summary statistics
R reference card (one of many)
Notes: Chapter 3. Summary statistics
Lab 6, Confidence intervals, etc.
Notes: Chapter 4. Framing and testing hypotheses
Notes: Chapter 5. Frameworks for statistical analysis
Lab 7. Hypothesis testing
Notes: Part II. Designing experiments
(Ch. 6, 7, 8)
Lab 8. Regression
Notes: Chapter 9. Regression
Lab 9. Linear models
Notes: Chapter 10. Categorical predictors, ANOVA
Lab 10. Categorical predictors, ANOVA
Lab 11. Multiple comparisons, etc.
Lab 12. Hierachical and mixed effects models
Notes: Hierachical and mixed effects models
Read again the Introduction and Overview