Difference between revisions of "Workshops/Saskatoon 2015-Exploratory Data Analysis"

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==Module 1==
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*[https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects '''Using Projects with R Studio''']
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*[http://software-carpentry.org/ '''Software Carpentry''']
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**[http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745 Best Practices for Scientific Computing, Wilson ''et al.'', PLoS Biology, Jan. 2014]
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*[https://support.rstudio.com/hc/en-us/articles/200532077-Version-Control-with-Git-and-SVN '''Version control in R Studio''']
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==EDA==
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;Slides
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;Scripts
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;Resources
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==Software==
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;Slides
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;Scripts
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;Resources
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==Regression==
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;Slides
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;Scripts
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;Resources
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==Dimension Reduction==
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;Slides
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;Scripts
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;Resources
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==Clustering==
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;Slides
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;Scripts
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;Resources
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==Hypothesis Testing==
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;Slides
  
  
 
;Scripts
 
;Scripts
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;Resources
  
  
 
 
 
 
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==Useful links==
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* The '''R''' help mailing list:  https://stat.ethz.ch/mailman/listinfo/r-help
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* '''Rseek''': the specialized search engine for '''R''' topics: http://rseek.org/
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* '''R''' questions on stackoverflow:  http://stackoverflow.com/questions/tagged/r
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* The Comprehensive '''R''' Archive Network '''CRAN''':  http://cran.r-project.org/
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* The '''CRAN''' task-view collection: http://cran.r-project.org/web/views/
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* '''Bioconductor''' task views:  http://www.bioconductor.org/packages/release/BiocViews.html
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==Notes==
 
==Notes==

Revision as of 13:14, 19 August 2015

Introduction to Exploratory Data Analysis with R



 

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


 


Resources