Introduction to R Programming

At the end of the course, the students should be able to: 1. utilise the R programming language for data-driven functions and utilities that have been lauded across the computing industry; 2. explain the structures, functions, and operations that power the utilities of this Language across various application domains; 3. explain the structures, functions, and operations of the language; and 4. apply the R programming language to various data-driven use-cases in practical problem domains in the real-world.

History and Overview of R, Installation, Introduction to R and RStudio, R interface, Cleaning and transforming data, Getting data in and out of R, Evaluation, R Objects, Numbers, Attributes, Vectors, Matrices/Arrays, Lists, Factors, Missing Values, Data Types, Structures and Frames, Names, , Displaying and plotting data, Reading lines of a Text File, Reading from a URL connection, Vectorised Operations, Dates and Times, Control Structures, Functions, Scoping Rules, Coding Standard for R, Looping, Debugging, Profiling R Code. Creating data products using R package. Lab work: Installation of R programming language and learning the practical basics. Practical programming exercises on R programming language in getting data in and out, evaluation, computation, finding missing values and reading lines of text files. Practical exercises on R coding and debugging.