EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

R Programming A Stepbystep Guide For Absolute Beginners Daniel Bell

SKU: BELL-11120760

$ 31.00 ~~$ 45.00~~ (-31%)

0 reviews

R Programming A Stepbystep Guide For Absolute Beginners Daniel Bell instant download after payment.

Publisher: Independently published

File Extension: PDF

File size: 3.34 MB

Pages: 169

Author: Daniel Bell

ISBN: 9781696769648, 1696769647

Language: English

Year: 2019

Product desciption

R Programming A Stepbystep Guide For Absolute Beginners Daniel Bell by Daniel Bell 9781696769648, 1696769647 instant download after payment.

R is a programming language and software environment for statistical analysis, graphics representation, and reporting. If you are trying to understand the R programming language as a beginner, this short book will give you enough understanding of almost all the concepts of the R language. The author will guide you through examples, how to program in R and how to use R for effective data analysis.Buy your copy Now!Book ObjectivesThis book is about R programming. 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.
RequirementsThe author expects you to have a computer installed with an operating system such as Linux, Windows or Mac OS X. What is inside the book?
R BASICS
R DATA TYPES
R VARIABLES AND CONSTANTS
R OPERATORS
DECISION MAKING IN R
R LOOPS
R FUNCTIONS
R CLASSES AND OBJECTS
R FOR DATA SCIENCE
R FOR MACHINE LEARNING
From the Back Cover.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.