Название: R Programming: A Step-by-Step Guide for Absolute Beginners Автор: Daniel Bell
Издательство: Guzzler Media LLC
Год: 2019
Страниц: 145
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB
R programming language is one of the most popular languages used by statisticians, data analysts, researchers to retrieve, clean, analyze, visualize and present data. This is a comprehensive book on how to get started with R programming, why you should learn it and how you can learn it. Daniel Bell begins by introducing the readers to the foundations of the R programming language. The aim is to help you understand, how the R interpreter works, the origin of the name R, how to set up the R programming environment, etc. The author has discussed the process of installing R on Windows, Linux and Mac OS. Moreover, the author has explored the basics of R programming including writing comments, using the R console, creating R script files, etc.
The various features provided by R have been discussed in depth, including data types, variables, loops, decision making, functions, operators, classes, and objects, etc. The author has also discussed R for data science and R for machine learning. The book has been organized into chapters, with each chapter having many sub-chapters. R code scripts have been provided, alongside thorough explanations of the code and images showing the expected output upon the execution of every script.
The following are the objectives of the author:
To familiarize you with the basics of R programming language.
To help you understand the various fields where R can be applied and its use cases in each field.
To equip you with R programming skills, both beginner and advanced skills.
To introduce you to R programming for data analysis.
To introduce you to R programming for machine learning.
To help you understand and appreciate the power of R in statistical computing, data analysis, and scientific research.
Who this Book is for?
Anybody who is a complete beginner to R Programming.
Anybody in need of advancing their R Programming skills.
Professionals in computer programming.
Professors, lecturers or tutors who are looking to find better ways to explain R programming to their students in the simplest and easiest way.
Students and academicians, especially those focusing on R, Data Analysis,Machine Learning , computer science, and Databases development.
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