Working with wide data is already hard enough, add to this row outliers and things can get murky fast. Here is an example of an anlysis of a wide data set, 24 rows x 84 columns. Using imDEV, written in R, to calculate and visualize a principal components analysis (PCA) on this data set. We find that 
![Extended (Simple) ASN Graph Visualization Example [R to D3]](https://rud.is/b/wp-content/uploads/2013/02/vc_60-300x231.png)






Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).