Basic Concepts of R-Programming and Statistics

Description

R programming is an efficient tool for statistical analysis of data. R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis. Data science has become critical to each field and the popularity of R is skyrocketing. This book is for students and professionals of Mathematics, Statistics, Physics, Chemistry, Biology, Engineering and Information Technology, Bio Informatics, Pharmacy and any one, where data needs to be analyzed and represented graphically. The aim of this book is to provide a relatively gentle yet informative exposure to the statistical software environment R, alongside some common statistical analyses, so that readers may have a solid foundation to eventually become experts in their own field. This book is your guide to harnessing the power of statistical computing. This book guides you to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. You’ll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more. This book is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.