References & Further Readings

• Kabacoff, R.I., 2010. R in Action. Manning.

• Grolemund, G. and Wickham, H., 2017. R for Data Sience. O’Reilly, January 2017 First Edition

• Peng, R.D., 2015. R programming for data science. Lulu. com.

• Venables, W. N., Smith D. M. and the R Core Team, 2017. An Introduction to R - Notes on R: A Programming Environment for Data Analysis and Graphics. [ONLINE] Available at: https://cran.r-project.org/doc/manuals/R-intro.html [Accessed 30 April 2018]

• Tutorialspoint. 2018. R Tutorial. [ONLINE] Available at: https://www.tutorialspoint.com/r/index.htm. [Accessed 31 March 2018].

• R Exercises. 2018. Homepage. [ONLINE] Available at: https://www.r-exercises.com/. [Accessed 30 April 2018].
  

Further Reading

• Zumel, N., Mount, J. and Porzak, J., 2014. Practical data science with R (pp. 101-104). Manning.

• Matloff, N., 2011. The art of R programming: A tour of statistical software design. No Starch Press.

• Teetor, P., 2011. R Cookbook: Proven recipes for data analysis, statistics, and graphics. "O'Reilly Media, Inc.".

• R Exercises. 2018. Homepage. [ONLINE] Available at: https://www.r-exercises.com/. [Accessed 30 April 2018].

• Edureka, 2017. R Tutorial For Beginners. [Online video] Available at: https://www.youtube.com/watch?v=eDrhZb2onWY [Accessed 30 April 2018].].