R Programming, Statistical Data Analysis in Research (2024 ed)

Purpose and Target Audience

Purpose and Target Audience This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using the R object-oriented programming language and RStudio integrated development environment (IDE).

Introduction to R

R is an open-source software with a development environment (RStudio) for computing statistics and graphical displays through data manipulation, modeling, and calculation. R packages and supported libraries provide a wide range of functions for programming and analyzing data.

Comparison with Other Software

Unlike many of the existing statistical software, R has the added benefit of allowing users to write more efficient code by using command-line scripting and vectors.

Extensibility and Custom Functions

It has several built-in functions and libraries that are extensible and allow users to define their own (customized) functions … which can also be stored in the simple object system.

Role of the Book

Therefore, this book serves as both a textbook and a manual for R statistics, targeting users to inform and guide their work.

Content Overview

It provides information about different types of statistical data analysis and methods, and the best scenarios for use of each case in R. It gives a hands-on step-by-step practical guide …

Data and Reliability

The book also covers the different data formats and sources, and how to test for the reliability and validity of the available datasets.

Experiments and Examples

Different research experiments, case scenarios, and examples are explained in this book.

Conclusion – Scope of the Book

The book provides a comprehensive description and a step-by-step, practical, hands-on guide … the congruence of Statistics and Computer programming in Research.