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| Date |
Time |
| Tue 05/29/2012 |
9:00am [Sanger] - 4:00pm |
| Thu 05/31/2012 |
9:00am [Sanger] - 4:00pm |
R is free, open source software used for statistical analysis and reporting.
R is a no cost alternative to SPSS, SAS and JMP.
R is available on the Windows, Mac and Linux platforms.
This class will be taught using R for Windows.
Learning Objectives: Day 1 (5/29/12) Morning:
- What is R
- Where to get R
- How to get data into R
- How to start working with data in R
- Summary Statistics in R
Learning Objectives: Day 1 (5/29/12) Afternoon:
- How to plot in R
- Histograms
- Boxplots
- Side-by-Side Boxplots
- Scatterplots
- Annotating plots
- Adding colors to plots
Learning Objectives: Day 2 (5/31/12) Morning:
- Introduction to hypothesis testing
- Introduction to confidence intervals
- Two sample tests on means and proportions
- Checking assumptions
- Chi-Square tests for independence/homogeneity
Learning Objectives: Day 2 (5/31/12) Afternoon:
- Regression
- Model Selection
- ANOVA
- Multiple Comparisons
- Logistic Regression
Additional information on R
Note: If the class is full:
email ts-courses@vcu.edu to be added to the waiting list.
Prerequisites: Basic/working knowledge of Microsoft Windows.
To fully appreciate this course material, one should have at least a basic understanding of statistical analysis in terms of confidence intervals and hypothesis testing.
Short Course Fee and How to Register:
- Cost:
- $0.00
- Sponsor:
- Technology Services
- Audience:
- All (General Public)
- Category:
- Research/Searching, Statistics
- Contact:
- Technology Services
(804) 828-8088
ts-courses@vcu.edu