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

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==Resources==
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==General Resources==
 
*[[Media:R_refcard-data-mining.pdf|A concise reference card of '''R''' functions for data mining (pdf)]]
 
*[[Media:R_refcard-data-mining.pdf|A concise reference card of '''R''' functions for data mining (pdf)]]
  
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*[https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects '''Using Projects with R Studio''']
 
*[http://software-carpentry.org/ '''Software Carpentry''']
 
**[http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745 Best Practices for Scientific Computing, Wilson ''et al.'', PLoS Biology, Jan. 2014]
 
*[https://support.rstudio.com/hc/en-us/articles/200532077-Version-Control-with-Git-and-SVN '''Version control in R Studio''']
 
  
  
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;Resources
 
;Resources
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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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==Useful links==
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==Generally useful links==
  
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;Help and Information
 
* The '''R''' help mailing list:  https://stat.ethz.ch/mailman/listinfo/r-help
 
* The '''R''' help mailing list:  https://stat.ethz.ch/mailman/listinfo/r-help
 
* '''Rseek''': the specialized search engine for '''R''' topics: http://rseek.org/
 
* '''Rseek''': the specialized search engine for '''R''' topics: http://rseek.org/
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* The '''CRAN''' task-view collection: http://cran.r-project.org/web/views/
 
* The '''CRAN''' task-view collection: http://cran.r-project.org/web/views/
 
* '''Bioconductor''' task views:  http://www.bioconductor.org/packages/release/BiocViews.html
 
* '''Bioconductor''' task views:  http://www.bioconductor.org/packages/release/BiocViews.html
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;Resources
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*[[Media:Weissgerber_(2015)_BeyondBarcharts.pdf|Weissgerber_(2015)_BeyondBarcharts.pdf]]
  
  

Revision as of 13:22, 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


 


General Resources




EDA

Slides


Scripts


Resources


 


Software

Slides


Scripts


Resources


 


Regression

Slides


Scripts


Resources


 


Dimension Reduction

Slides


Scripts


Resources


 


Clustering

Slides


Scripts


Resources


 


Hypothesis Testing

Slides


Scripts


Resources


 


Generally useful links

Help and Information


Resources


 


Notes


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