 Название: R programming language For Beginners: Learn R Programming Language Tutorial
Автор: Kavi & Shila
Издательство: Kavi & Shila Book Publication House
Год: 2024
Страниц: 226
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
Whether you're a student, researcher, or just someone curious about data, R programming can be your key to unlocking valuable insights. This book is designed to take you on a step-by-step journey from R novice to confident user.
R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. The core of R is an interpreted computer language which allows branching and looping as well as modular programming using functions. R allows integration with the procedures written in the C, C++, .Net, Python or FORTRAN languages for efficiency. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. R is free software distributed under a GNU-style copy left, and an official part of the GNU project called GNU S.
R is a programming language and software environment for statistical analysis, graphics representation and reporting. The following are the important features of R:
• R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input and output facilities.
• R has an effective data handling and storage facility,
• R provides a suite of operators for calculations on arrays, lists, vectors and matrices.
• R provides a large, coherent and integrated collection of tools for data analysis.
• R provides graphical facilities for data analysis and display either directly at the computer or printing at the papers.
As a conclusion, R is the world's most widely used statistical programming language. It's the # 1 choice of data scientists and supported by a vibrant and talented community of contributors. R is taught in universities and deployed in mission critical business applications. This tutorial will teach you R programming along with suitable examples in simple and easy steps.
What You'll Learn:
The Fundamentals: Grasp the core concepts of R, including data types, operators, control flow, and functions.
Data Manipulation: Master the art of wrangling data in R, from importing and cleaning to organizing and transforming it for analysis.
Statistical Powerhouse: Explore R's robust statistical capabilities, covering measures of central tendency, dispersion, hypothesis testing, and regression analysis.
Visualization Maestro: Craft compelling data visualizations with R's built-in graphics tools, bringing your data to life.
Practice Makes Perfect: Solidify your understanding with plenty of code examples, hands-on exercises, and practice problems throughout the book.
By the end of this journey, you'll be equipped to:
Tackle real-world data analysis projects
Generate informative and impactful data visualizations
Become an independent R programmer, ready to delve deeper into the world of Data Science
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