See also

• There are plenty of tutorials and books on R; check the R web page (http://www.r-project.org/) for documentation.
• For Bioconductor, check the documentation at http://manuals.bioinformatics.ucr.edu/home/R_BioCondManual
• If you work with NGS, you might also want to check high throughput sequence analysis with Bioconductor at http://manuals.bioinformatics.ucr.edu/home/ht-seq.
• The rpy library documentation is your Python gateway to R, and can be found at https://rpy2.bitbucket.io/.
• The Grammar of Graphics is described in a book aptly named The Grammar of Graphics, Leland Wilkinson, Springer.
• In terms of data structures, similar functionality to R can be found in the pandas library. You can find some tutorials at http://pandas.pydata.org/pandas-docs/dev/tutorials.html. The book, Python for Data Analysis, Wes McKinney, O'Reilly Media, is also an alternative to consider.