Description
Orient Blackswan Pvt. Ltd. Research Methodology by 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 FeaturesCovers traditional programming concepts in R, such as its features, data types, categorisation, operators, vectors, matrices, data frames, functions and the R profilerExplains 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 RIncludes numerous examples and program codeProvides multiple choice, programming and concept-based questions at the end of every chapterProvides access to an App for additional material on Android mobile phonesOnline resources are available at www.universitiespress.com/rprogramming