Introduction To R Usage And Evolution - Advantages And Tradeoffs Of Using R- R Environment – Command Line Interface – R studio -- Getting Started With R: Installation And Orientation - R packages – Installing Packages – Loading Packages.
Basic Of R – Variables – Variable Assignment – Removing Variable – Data Types - Vectors – Vector Operations - Advanced Data Structure: Data.Frames – Lists - Matrices And Arrays
Reading Data Into R – Reading Csvs- Excel Data – Reading From Database – R Binary Files – Extract Data From Websites – Statistical Graphics: Base Graphics-Ggplot2
Writing Rfunctions; Function Argument – Return Value - Control Statement – If And Else - Switch – Ifelse – Command Test – For Loops- While Loops – Controlling Loops – Group Manipulation – Manupulating Strings
Applied R Using R For Math Function Computation: Probability Binominal Distribution, Poisson Distribution – Basic Statistics – Clustering – Kmeans – Pam – Building R Packages – Real – Time Resources.
Reference Book:
Norman Matloff - “The Art of R Programming” – No Starch Press, 2011
Text Book:
Jared P Lander “R For Everyone”– Pearson Publishers 2015