Learning R
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Learning R
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Author : Richard Cotton
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-09-09
Learning R written by Richard Cotton and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-09 with Computers categories.
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code
Learning R Programming
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Author : Kun Ren
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-10-28
Learning R Programming written by Kun Ren and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-28 with Computers categories.
Become an efficient data scientist with R About This Book Explore the R language from basic types and data structures to advanced topics Learn how to tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R and leverage the most popular packages for common tasks Who This Book Is For This is the perfect tutorial for anyone who is new to statistical programming and modeling. Anyone with basic programming and data processing skills can pick this book up to systematically learn the R programming language and crucial techniques. What You Will Learn Explore the basic functions in R and familiarize yourself with common data structures Work with data in R using basic functions of statistics, data mining, data visualization, root solving, and optimization Get acquainted with R's evaluation model with environments and meta-programming techniques with symbol, call, formula, and expression Get to grips with object-oriented programming in R: including the S3, S4, RC, and R6 systems Access relational databases such as SQLite and non-relational databases such as MongoDB and Redis Get to know high performance computing techniques such as parallel computing and Rcpp Use web scraping techniques to extract information Create RMarkdown, an interactive app with Shiny, DiagramR, interactive charts, ggvis, and more In Detail R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques. Style and approach Developed to make learning easy and intuitive, this book comes packed with a wide variety of statistical and graphical techniques and a wealth of practical information for anyone looking to get started with this exciting and powerful language.
Learn R
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Author : Pedro J. Aphalo
language : en
Publisher: CRC Press
Release Date : 2020-07-28
Learn R written by Pedro J. Aphalo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-28 with Computers categories.
Learning a computer language like R can be either frustrating, fun, or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward on overcoming them. This book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. Although rarely mentioned separately, fluency in a computer programming language involves both writing and reading. The parallels between natural and computer languages are many, but differences are also important. For students and professionals in the biological sciences, humanities, and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2020 and beyond. Features R as it is currently used Few prescriptive rules—mostly the author’s preferences together with alternatives Explanation of the R grammar emphasizing the "R way of doing things" Tutoring for "programming in the small" using scripts The grammar of graphics and the grammar of data described as grammars Examples of data exchange between R and the foreign world using common file formats Coaching for becoming an independent R user, capable of both writing original code and solving future challenges What makes this book different from others: Tries to break the ice and help readers from all disciplines feel at home with R Does not make assumptions about what the reader will use R for Attempts to do only one thing well: guide readers into becoming fluent in the R language Pedro J. Aphalo is a PhD graduate from the University of Edinburgh, and is currently a lecturer at the University of Helsinki. A plant biologist and agriculture scientist with a passion for data, electronics, computers, and photography, in addition to plants, Dr. Aphalo has been a user of R for 25 years. He first organized an R course for MSc students 18 years ago, and is the author of 13 R packages currently in CRAN.
R Programming For Beginners
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Author : Steven Keller
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-12-01
R Programming For Beginners written by Steven Keller and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with categories.
This book is an exploration of the R programming language. It begins by explaining to you the main uses of the R programming language and where it is normally applied. You are then guided on how to setup the programming environment, both on Windows and Linux. The various data types available in R are discussed, and you will learn how to define and use all of these. Variables, which are of great utility in any programming language are explored, thus, you will learn how to define variables in R. The R programming language supports decision-making. The various decision-making statements which are supported in this language are examined. Loops are also of great importance when we are drawing graphs and charts in R. They specify a section of code which is to be executed a number of times. These have been explored in this book in detail. Functions, which are good for the grouping of code are explored, along with order strings, vectors, and lists, which are the data types of great importance in R. Matrices represent a data type which can be used for storing data in a number of dimensions. This book explores the use of matrices in R, thus, you will know how to work with these. Arrays, which are more advanced than matrices have also been discussed. The book also guides you on how to work with factors and data frames. The following topics are discussed in this book: -A Brief Overview of R Programming -Setting up the Environment -Data Types in R -Variables -Decision Making -Loops -Functions -Strings -Vectors -Lists -Matrices -Arrays -Factors -Data Frames
Learning R
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Author : Richard Cotton
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-09-09
Learning R written by Richard Cotton and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-09 with Computers categories.
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code
Learn R Programming In 24 Hours
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Author : Alex Nordeen
language : en
Publisher: Guru99
Release Date : 2020-10-31
Learn R Programming In 24 Hours written by Alex Nordeen and has been published by Guru99 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-31 with Computers categories.
R is a programming language developed is widely used for statistical and graphical analysis. It can execute advance machine learning algorithms including earning algorithm, linear regression, time series, statistical inference. R programming language is used by Fortune 500 companies and tech bellwethers like Uber, Google, Airbnb, Facebook, Apple. R provides a data scientist tools and libraries (Dplyr) to perform the 3 steps of analysis 1) Extract 2) Transform, Cleanse 3) Analyze. Table of Contents Chapter 1: What is R Programming Language? Introduction & Basics Chapter 2: How to Download & Install R, RStudio, Anaconda on Mac or Windows Chapter 3: R Data Types, Arithmetic & Logical Operators with Example Chapter 4: R Matrix Tutorial: Create, Print, add Column, Slice Chapter 5: Factor in R: Categorical & Continuous Variables Chapter 6: R Data Frame: Create, Append, Select, Subset Chapter 7: List in R: Create, Select Elements with Example Chapter 8: R Sort a Data Frame using Order() Chapter 9: R Dplyr Tutorial: Data Manipulation(Join) & Cleaning(Spread) Chapter 10: Merge Data Frames in R: Full and Partial Match Chapter 11: Functions in R Programming (with Example) Chapter 12: IF, ELSE, ELSE IF Statement in R Chapter 13: For Loop in R with Examples for List and Matrix Chapter 14: While Loop in R with Example Chapter 15: apply(), lapply(), sapply(), tapply() Function in R with Examples Chapter 16: Import Data into R: Read CSV, Excel, SPSS, Stata, SAS Files Chapter 17: How to Replace Missing Values(NA) in R: na.omit & na.rm Chapter 18: R Exporting Data to Excel, CSV, SAS, STATA, Text File Chapter 19: Correlation in R: Pearson & Spearman with Matrix Example Chapter 20: R Aggregate Function: Summarise & Group_by() Example Chapter 21: R Select(), Filter(), Arrange(), Pipeline with Example Chapter 22: Scatter Plot in R using ggplot2 (with Example) Chapter 23: How to make Boxplot in R (with EXAMPLE) Chapter 24: Bar Chart & Histogram in R (with Example) Chapter 25: T Test in R: One Sample and Paired (with Example) Chapter 26: R ANOVA Tutorial: One way & Two way (with Examples) Chapter 27: R Simple, Multiple Linear and Stepwise Regression [with Example] Chapter 28: Decision Tree in R with Example Chapter 29: R Random Forest Tutorial with Example Chapter 30: Generalized Linear Model (GLM) in R with Example Chapter 31: K-means Clustering in R with Example Chapter 32: R Vs Python: What's the Difference? Chapter 33: SAS vs R: What's the Difference?
R Programming For Beginners
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Author : Nathan Metzler
language : en
Publisher:
Release Date : 2019-11-22
R Programming For Beginners written by Nathan Metzler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-22 with categories.
Master the programming skills you need to turn raw, unfiltered data into deep insights and get ready for a data science and analytics career with this definitive guide to R Programming for Beginners! Do you want to get started learning how to program, but don't know where to begin? Are you interested in moving beyond Excel sheets and learning one of the most powerful programming language used in cutting edge research such as machine learning? If you answered yes to any of these questions, then this book might just be what you need. R can be a royal pain in the neck sometimes. Even seasoned programmers and data analysts still struggle with it. But it doesn't have to be you. In this guide, you're going to learn everything you need to do heavy data wrangling in R, with graded exercises and examples at the end to help you reinforce what you've learned. Here's a preview of what you're going to discover in R Programming for Beginners Step-by-step instructions to help you set up and install the R Environment with photos How to properly Execute R Scripts with your favorite code editor Everything you need to know about the R syntax-statements, blocks, comments, and keywords Steps to help you write your very first R script and begin your programming journey The 6 data types supported by the R programming language How to name variables and assign values to them Steps to help you write well-defined user functions effectively How to control program flow with decision making control structures and loops How to visualize data with R programming ...and lots more! Whether you're completely new to programming and have never written a single line of code before, or you're an intermediate or experienced R programmer looking to brush up on the basics, this book has everything you need to master R completely. Scroll to the top of the page and click the "Add to Cart" button to get started today!
R Programming For Beginners
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Author : Peter Simon
language : en
Publisher: Peter Simon
Release Date :
R Programming For Beginners written by Peter Simon and has been published by Peter Simon this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
R Programming for Beginners: Master the Fundamentals of R, Even with Zero Coding Experience The Ultimate Beginner’s Guide to Learning R—Perfect for First-Time Coders, Data Enthusiasts, and Future Analysts! Ready to dive into the world of data but not sure where to start? Whether you're exploring data science with R, planning to take an R programming online course, or just curious about coding, R Programming for Beginners is your go-to guide for mastering the essentials of the R programming language—no technical background needed. This book is more than just a read—it's a hands-on R course for beginners that walks you step by step through real-world examples, making learning R programming for beginners simple, effective, and even fun. 🔍 What This R Programming Book Covers: ✅ Introduction to R Software for Beginners Learn what R is, how to install and use R Studio for beginners, and why it's one of the top tools for data analysis and statistical computing. ✅ Essential R Programming Language Basics Master the core concepts: Data types and variables Vectors, matrices, and data frames Control structures (if statements, loops) Writing custom functions Basic R programs for data manipulation and cleaning ✅ Hands-On Practice for Real Learning Apply what you learn with practical examples and exercises—just like a real R programming course for beginners or an R programming tutorial for beginners would provide. 🎯 Why This Is the Best Way to Learn R Programming Online: 📘 Structured Like an R Programming Language Online Course – With clear progression and learning checkpoints. 💡 Beginner-Friendly Explanations – No jargon. Just step-by-step help for anyone who wants to learn R programming the right way. 💻 Perfect Alternative to an R Software Online Course – Learn at your own pace, with full control. 📊 Built for Data Analysis – This is not just theory—you'll learn how to apply R to real data. 🔧 Your First Step into Data Science with R – Ideal for building a strong foundation before advancing to machine learning, statistics, or big data. 👨🏫 Who This R Programming Training Is For: Absolute beginners who want a friendly R language tutorial for beginners Students looking to learn R language for beginners without overwhelming content Professionals starting a data career and seeking an easy-to-follow R software tutorial for beginners Self-learners who want a book-based R programming language course that replaces expensive bootcamps Anyone interested in R programming for dummies-style guidance, minus the fluff 🎁 Bonus Learning Tools Included: Practice datasets and sample code Clear R exercises with solutions Downloadable materials via our R language website Recommendations for the best tools to learn R language online Guidance on how to continue with an R programming online course after completing this book ✅ Start Your R Coding Journey Today If you’ve been searching for a beginner R tutorial that makes sense, or a way to learn R programming without frustration, this is the book for you. Whether you’re taking your first steps or using it as a supplement to an R programming language online course, this beginner guide will help you learn R language fast and with confidence. 🛒 Scroll up and get your copy today—start your journey with R, the powerful programming language for data science, now!
Learning Rstudio For R Statistical Computing
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Author : Mark P. J. Van der Loo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2012-01-01
Learning Rstudio For R Statistical Computing written by Mark P. J. Van der Loo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-01 with Computers categories.
A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly achieve this using RStudio.
R
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Author : Acodemy
language : en
Publisher:
Release Date : 2015-03-15
R written by Acodemy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-15 with categories.
R Programming LanguageAre You Ready to Know All About R Programming? Learning a programming language is not an easy work. It requires time, money and desire. You must search an academy or a teacher, achieve coordination with them, or worse, adapt your own time to their class times. You also have to pay the high fees, month to month, and what is even more annoying is this: you will probably have to go to a special place in order to practice the new programming language! I made this crash course for a reason... I made this course to give YOU a solution. This crash course about R programming is not only going to teach you the basics of R in a didactic way, furthermore, you will learn R language WHEN you want, and more important, WHERE you want (It could even be at your home!). I made this crash course to show you HOW you can learn R programming FASTER than you ever thought possible. I will teach YOU step by step the R Language extremely quickly. I will TAKE you through a step by step guide where you simply can't get lost! This course-book will allow you to practice, learn and deepen your knowledge of R as a new programming language in an entertaining, interactive, autonomous and flexible course. Stop procrastinating and start NOW! Learning the R Language is something that is a really worth investing time. R programming Language course is now available in Amazon and it is just for $10,99. This is a no-brainer!Crash it!Here Is A Preview Of What You'll Learn When You Download You Copy Today: What is R Programming? What is R used for? Getting Started with R programming Writing Code and Text Editors Reading Files with Functions in R programming Symbols and Assignments Conditional and Repetitive Executions Loops and Vectorization Apply Loop Family Sequences Data Manipulation Vectors Text Processing Text Manipulation Working With Data Frames Matrix and Arrays Generic Functions and S3 Classes Writing R Packages Much, much more! Download your copy today!To order your copy, click the BUY button and download it right now!(c) 2014 All Rights ReservedR Programming: Learn R Programming FAST - The Ultimate Crash Course to Learning the Basics of R Programming Language In No TimeRemember: Investing in yourself is the most important thing to do!