Difference between revisions of "Workshops/Saskatoon 2015-Exploratory Data Analysis"
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Revision as of 14:24, 20 August 2015
Introduction to Exploratory Data Analysis with R
Contents
Schedule
Please note: this schedule is a rough guideline only, we will be very flexible to adapt to class needs as we proceed.
| Time | Thursday's Activities | Friday |
| 09:00 – 10:30 | Lecture and practicals: EDA | Lecture and practicals: Dimension reduction |
| 10:30 – 11:00 | Coffee break | |
| 11:00 – 12:30 | Lecture and practicals: EDA | Lecture and practicals: Clustering |
| 12:30 – 13:30 | Lunch break | |
| 13:30 – 15:00 | Lecture and practicals: Software development | Lecture and practicals:Clustering |
| 15:00 – 15:30 | Coffee break | |
| 13:30 – 15:00 | Lecture and practicals: Regression | Lecture and practicals: Hypothesis testing |
General Resources
EDA
- Slides
- Scripts
- Data
- Resources
Software
- Slides
- Scripts
- Resources
Regression
- Slides
- Scripts
Dimension Reduction
- Slides
- Scripts
- Resources
Clustering
- Slides
- Scripts
- Resources
Hypothesis Testing
- Slides
- Scripts
- Resources
Generally useful links
- Help and Information
- The R help mailing list: https://stat.ethz.ch/mailman/listinfo/r-help
- Rseek: the specialized search engine for R topics: http://rseek.org/
- R questions on stackoverflow: http://stackoverflow.com/questions/tagged/r
- The Comprehensive R Archive Network CRAN: http://cran.r-project.org/
- The CRAN task-view collection: http://cran.r-project.org/web/views/
- Bioconductor task views: http://www.bioconductor.org/packages/release/BiocViews.html
- Resources
Notes
