Principal Component Analysis and other tools...

http://stats.stackexchange.com/questions/65692/how-to-visualize-what-canonical-correlation-analysis-does-in-comparison-to-what/65817#65817

http://stats.stackexchange.com/questions/95038/how-does-factor-analysis-explain-the-covariance-while-pca-explains-the-variance/95106#95106

http://stats.stackexchange.com/questions/94048/pca-and-exploratory-factor-analysis-on-the-same-data-set/94104#94104

Time to update R...

When you get one of these:

Warning message:
package ‘dplyr’ was built under R version 3.1.2 


it's probably time to check the version of R, your using and probably time to update it too!

Type
> version

into the Console of R-studio and it will tell you what version you have currently..

I just updated R and got this response:

platform       x86_64-apple-darwin13.4.0   
arch           x86_64                      
os             darwin13.4.0                
system         x86_64, darwin13.4.0        
status                                     
major          3                           
minor          2.2                         
year           2015                        
month          08                          
day            14                          
svn rev        69053                       
language       R                           
version.string R version 3.2.2 (2015-08-14)
nickname       Fire Safety    

Selection of useful links

Get R not to use scientific notation:
http://stackoverflow.com/questions/9397664/force-r-not-to-use-exponential-notation-e-g-e10

Links about quantile normalisation:
http://bmbolstad.com/stuff/qnorm.pdf
http://davetang.org/muse/2014/07/07/quantile-normalisation-in-r/

Piping in R:
https://cran.r-project.org/web/packages/magrittr/vignettes/magrittr.html
https://martinsbioblogg.wordpress.com/2014/03/27/more-fun-with-and/
http://www.r-statistics.com/2014/08/simpler-r-coding-with-pipes-the-present-and-future-of-the-magrittr-package/

Link for the data.table package:
https://cran.r-project.org/web/packages/data.table/index.html

ggvis:
http://blog.rstudio.org/2014/06/23/introducing-ggvis/

Open Data Wales Slack Channel
https://opendatawales.slack.com/messages/general/

Using ggplot to make graphs like Gapminder:
http://www.stat.ubc.ca/~jenny/STAT545A/block17_colorsGgplot2Qualitative.html

SciberMonkey from Biochem Soc
http://www.scibermonkey.org/

Blog about machine learning
http://machinelearningmastery.com/machine-learning-for-programmers/