R Programming for Beginners

by Sandhya Arora, Latesh Malik

R is a free, open-source, adaptable, extensible language with tremendous applications in the field of statistical computation and data science. It offers basic programming and has very strong built-in functions for statistical analysis. It is also a perfect fit for Big Data solutions and supports graphical techniques to visualise and present data effectively.
In this book, students will learn about R programming, from its fundamentals to advanced concepts relating to data science and machine learning.
Salient Features
• Covers traditional programming concepts in R, such as its features, data types, categorisation, operators, vectors, matrices, data frames, functions and the R profiler
• Explains basic and advanced statistical concepts such as measures of central value, dispersion and shape; sampling distribution; correlation coefficient and regression analysis; inference, ANOVA, machine learning concepts and text mining, and how to implement them in R
• Includes numerous examples and program code
• Provides multiple choice, programming and concept-based questions at the end of every chapter

484 pages, Kindle Edition