Learn R Programming In 24 Hours

Author : Alex Nordeen
Publisher : Guru99
Page : 349 pages
File Size : 45,6 Mb
Release : 2020-10-31
Category : Computers
ISBN : 8210379456XXX

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Learn R Programming in 24 Hours by Alex Nordeen Pdf

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?

Author : Andy Nicholls,Richard Pugh,Aimee Gott
Publisher : Sams Publishing
Page : 1544 pages
File Size : 45,9 Mb
Release : 2015-12-16
Category : Computers
ISBN : 9780134288802

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R in 24 Hours, Sams Teach Yourself by Andy Nicholls,Richard Pugh,Aimee Gott Pdf

In just 24 lessons of one hour or less, Sams Teach Yourself R in 24 Hours helps you learn all the R skills you need to solve a wide spectrum of real-world data analysis problems. You’ll master the entire data analysis workflow, learning to build code that’s efficient, reproducible, and suitable for sharing with others. This book’s straightforward, step-by-step approach teaches you how to import, manipulate, summarize, model, and plot data with R; formalize your analytical code; and build powerful R packages using current best practices. Practical, hands-on examples show you how to apply what you learn. Quizzes and exercises help you test your knowledge and stretch your skills. Learn How To Install, configure, and explore the R environment, including RStudio Use basic R syntax, objects, and packages Create and manage data structures, including vectors, matrices, and arrays Understand lists and data frames Work with dates, times, and factors Use common R functions, and learn to write your own Import and export data and connect to databases and spreadsheets Use the popular tidyr, dplyr and data.table packages Write more efficient R code with profiling, vectorization, and initialization Plot data and extend your graphical capabilities with ggplot2 and Lattice graphics Develop common types of models Construct high-quality packages, both simple and complex Write R classes: S3, S4, and Reference Classes Use R to generate dynamic reports Build web applications with Shiny Register your book at informit.com/register for convenient access to updates and corrections as they become available. This book’s source code can be found at http://www.mango-solutions.com/wp/teach-yourself-r-in-24-hours-book/.

Author : Michael Tyler Givens
Publisher : Pearson Education
Page : 432 pages
File Size : 43,7 Mb
Release : 2008-12-07
Category : Computers
ISBN : 0768685737

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Sams Teach Yourself Adobe(r) AIR Programming in 24 Hours by Michael Tyler Givens Pdf

This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. Sams Teach Yourself Adobe® AIR™ Programming in 24 Hours Michael Givens Covers version 1.5 of Adobe AIR In just 24 sessions of one hour or less, you will be up and running with Adobe AIR 1.5. Using a straightforward, step-by-step approach, each lesson builds upon a real-world foundation allowing you to learn the essentials of Adobe AIR from the ground up. Step-by-step instructions carefully walk you through the most common Adobe AIR 1.5 tasks. Quizzes and Exercises at the end of each chapter help you test your knowledge of Adobe AIR 1.5. By the Way notes present interesting information related to the discussion. Did You Know? tips offer advice or show you alternative ways to do something. Watch Out! cautions alert you to possible problems and give you advice on how to avoid them. Learn how to… Utilize the AIR SDK Write an AIR application with HTML Write an AIR application with Flash CS3 or Dreamweaver CS3 Write an AIR application with PDF integration Debug an AIR application Distribute an AIR application Use the AIR APIs Leverage server-side features for AIR Michael Givens is the CTO of U Saw It Enterprises, a Web technology consulting firm based in Spring, Texas. He is an Adobe Community Expert and an Adobe Corporate Champion known to share his experience and evangelism of all things Adobe. Certified in ColdFusion 5 and as an Advanced CFMX Developer, he has been using ColdFusion since the days of Allaire Spectra and Flex since it was known as Royale. He is the coauthor of Adobe AIR Programming Unleashed (Sams Publishing) and has written articles for the ColdFusion Developer’s Journal and the Flex Developer’s Journal. He also wrote a digital Short Cut titled Apollo in Flight for Sams Publishing. Michael blogs regularly at www.flexination.info. Category: Programming/Application Development Covers: Adobe AIR User Level: Beginning–Intermediate

Author : Andy Nicholls,Richard Pugh,Aimee Gott
Publisher : Unknown
Page : 128 pages
File Size : 49,8 Mb
Release : 2016
Category : R (Computer program language)
ISBN : 0134288815

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Sams Teach Yourself R in 24 Hours by Andy Nicholls,Richard Pugh,Aimee Gott Pdf

Author : Andy Nicholls,Richard Pugh,Aimee Gott
Publisher : Sams Publishing
Page : 0 pages
File Size : 52,7 Mb
Release : 2016
Category : Computer programming
ISBN : 0672338483

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Sams Teach Yourself R in 24 Hours by Andy Nicholls,Richard Pugh,Aimee Gott Pdf

With the open source R programming language and its immense library of packages, you can perform virtually any data analysis task. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to import, manipulate, summarize, model, and plot data with R; formalize analytical code; and build powerful R packages using current best practices. Each short, easy lesson builds on all that's come before: you'll learn all of R's essentials as you create real R solutions. R in 24 hours, Sams Teach Yourself covers the entire data analysis workflow from the viewpoint of professionals whose code must be efficient, reproducible and suitable for sharing with others.

Author : Manpreet Singh,Arshad Ali
Publisher : Sams Publishing
Page : 1044 pages
File Size : 42,5 Mb
Release : 2015-11-12
Category : Computers
ISBN : 9780134035338

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Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself by Manpreet Singh,Arshad Ali Pdf

Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours In just 24 lessons of one hour or less, Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours helps you leverage Hadoop’s power on a flexible, scalable cloud platform using Microsoft’s newest business intelligence, visualization, and productivity tools. This book’s straightforward, step-by-step approach shows you how to provision, configure, monitor, and troubleshoot HDInsight and use Hadoop cloud services to solve real analytics problems. You’ll gain more of Hadoop’s benefits, with less complexity–even if you’re completely new to Big Data analytics. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Practical, hands-on examples show you how to apply what you learn Quizzes and exercises help you test your knowledge and stretch your skills Notes and tips point out shortcuts and solutions Learn how to... · Master core Big Data and NoSQL concepts, value propositions, and use cases · Work with key Hadoop features, such as HDFS2 and YARN · Quickly install, configure, and monitor Hadoop (HDInsight) clusters in the cloud · Automate provisioning, customize clusters, install additional Hadoop projects, and administer clusters · Integrate, analyze, and report with Microsoft BI and Power BI · Automate workflows for data transformation, integration, and other tasks · Use Apache HBase on HDInsight · Use Sqoop or SSIS to move data to or from HDInsight · Perform R-based statistical computing on HDInsight datasets · Accelerate analytics with Apache Spark · Run real-time analytics on high-velocity data streams · Write MapReduce, Hive, and Pig programs Register your book at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

Author : Daniel Daniel Bell
Publisher : Unknown
Page : 183 pages
File Size : 43,7 Mb
Release : 2020-06
Category : Electronic
ISBN : 9798650364795

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R Programming by Daniel Daniel Bell Pdf

2020- Second Edition, updated version. Get your copy!! Why Learn R? What are the reasons to learn R for Data Science? In this small textbook recommended for absolute beginners, the author tried to answer these types of questions. After reading this guide, maybe in one or two days, you will learn the basics of R programming and its utility for each Data Scientist. Indeed, 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.Get your copy Now! Book Objectives This 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. Requirements The 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. Get your copy

Author : Alex Nordeen
Publisher : Guru99
Page : 137 pages
File Size : 40,8 Mb
Release : 2020-09-15
Category : Computers
ISBN : 8210379456XXX

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Learn C Programming in 24 Hours by Alex Nordeen Pdf

C is a general-purpose programming language that is extremely popular, simple and flexible. It is machine-independent, structured programming language which is used extensively in various applications. This ebook course teaches you basic to advance level concept of C Programming to make you pro in C language. Here is what is covered in the book – Table Of Content Chapter 1: What is C Programming Language? Basics, Introduction and History What is C programming? History of C language Where is C used? Key Applications Why learn 'C'? How 'C' Works? Chapter 2: How to Download & Install GCC Compiler for C in Windows, Linux, Mac Install C on Windows Install C in Linux Install C on MAC Chapter 3: C Hello World! Example: Your First Program Chapter 4: How to write Comments in C Programming What Is Comment In C Language? Example Single Line Comment Example Multi Line Comment Why do you need comments? Chapter 5: C Tokens, Keywords, Identifiers, Constants, Variables, Data Types What is a Character set? Token Keywords and Identifiers What is a Variable? Data types Integer data type Floating point data type Constants Chapter 6: C Conditional Statement: IF, IF Else and Nested IF Else with Example What is a Conditional Statement? If statement Relational Operators The If-Else statement Conditional Expressions Nested If-else Statements Nested Else-if statements Chapter 7: C Loops: For, While, Do While, Break, Continue with Example What are Loops? Types of Loops While Loop Do-While loop For loop Break Statement Continue Statement Which loop to Select? Chapter 8: Switch Case Statement in C Programming with Example What is a Switch Statement? Syntax Flow Chart Diagram of Switch Case Example Nested Switch Why do we need a Switch case? Rules for switch statement: Chapter 9: C Strings: Declare, Initialize, Read, Print with Example What is a String? Declare and initialize a String String Input: Read a String String Output: Print/Display a String The string library Converting a String to a Number Chapter 10: Storage Classes in C: auto, extern, static, register with Example What is a Storage Class? Auto storage class Extern storage class Static storage class Register storage class Chapter 11: C Files I/O: Create, Open, Read, Write and Close a File How to Create a File How to Close a file Writing to a File Reading data from a File Interactive File Read and Write with getc and putc Chapter 12: Functions in C Programming with Examples: Recursive, Inline What is a Function? Library Vs. User-defined Functions Function Declaration Function Definition Function call Function Arguments Variable Scope Static Variables Recursive Functions Inline Functions Chapter 13: Pointers in C Programming with Examples What is a Pointer? How does Pointer Work? Types of a pointer Direct and Indirect Access Pointers Pointers Arithmetic Pointers and Arrays Pointers and Strings Advantages of Pointers Disadvantages of Pointers Chapter 14: Functions Pointers in C Programming with Examples Chapter 15: C Bitwise Operators: AND, OR, XOR, Shift & Complement (with Example) What are Bitwise Operators? Bitwise AND Bitwise OR Bitwise Exclusive OR Bitwise shift operators Bitwise complement operator Chapter 16: C Dynamic Memory Allocation using malloc(), calloc(), realloc(), free() How Memory Management in C works? Dynamic memory allocation The malloc Function The free Function The calloc Function calloc vs. malloc: Key Differences The realloc Function Dynamic Arrays Chapter 17: TypeCasting in C: Implicit, Explicit with Example What is Typecasting in C? Implicit type casting Explicit type casting

Author : Jeffrey Aven
Publisher : Sams Publishing
Page : 1352 pages
File Size : 48,5 Mb
Release : 2016-08-31
Category : Computers
ISBN : 9780134445823

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Apache Spark in 24 Hours, Sams Teach Yourself by Jeffrey Aven Pdf

Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark’s amazing speed, scalability, simplicity, and versatility. This book’s straightforward, step-by-step approach shows you how to deploy, program, optimize, manage, integrate, and extend Spark–now, and for years to come. You’ll discover how to create powerful solutions encompassing cloud computing, real-time stream processing, machine learning, and more. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Whether you are a data analyst, data engineer, data scientist, or data steward, learning Spark will help you to advance your career or embark on a new career in the booming area of Big Data. Learn how to • Discover what Apache Spark does and how it fits into the Big Data landscape • Deploy and run Spark locally or in the cloud • Interact with Spark from the shell • Make the most of the Spark Cluster Architecture • Develop Spark applications with Scala and functional Python • Program with the Spark API, including transformations and actions • Apply practical data engineering/analysis approaches designed for Spark • Use Resilient Distributed Datasets (RDDs) for caching, persistence, and output • Optimize Spark solution performance • Use Spark with SQL (via Spark SQL) and with NoSQL (via Cassandra) • Leverage cutting-edge functional programming techniques • Extend Spark with streaming, R, and Sparkling Water • Start building Spark-based machine learning and graph-processing applications • Explore advanced messaging technologies, including Kafka • Preview and prepare for Spark’s next generation of innovations Instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Spark to solve a wide spectrum of Big Data problems.

Author : Richard Blum,Christine Bresnahan
Publisher : Sams Publishing
Page : 1429 pages
File Size : 44,7 Mb
Release : 2015-12-10
Category : Technology & Engineering
ISBN : 9780134389578

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Python Programming for Raspberry Pi, Sams Teach Yourself in 24 Hours by Richard Blum,Christine Bresnahan Pdf

Python Programming for Raspberry Pi® In just 24 sessions of one hour or less, Sams Teach Yourself Python Programming for Raspberry Pi in 24 Hours teaches you Python programming on Raspberry Pi, so you can start creating awesome projects for home automation, home theater, gaming, and more. Using this book’s straight-forward, step-by-step approach, you’ll move from the absolute basics all the way through network and web connections, multimedia, and even connecting with electronic circuits for sensing and robotics. Every lesson and case study application builds on what you’ve already learned, giving you a rock-solid foundation for real-world success! Step-by-step instructions carefully walk you through the most common Raspberry Pi Python programming tasks. Quizzes at the end of each chapter help you test your knowledge. By the Way notes present interesting information related to the discussion. Did You Know? tips offer advice or show you easier ways to perform tasks. Watch Out! cautions alert you to possible problems and give you advice on how to avoid them. Richard Blum has administered systems and networks for more than 25 years. He has published numerous Linux and open source books, and is an online instructor for web programming and Linux courses used by colleges across the United States. His books include Ubuntu Linux Secrets; Linux for Dummies, Ninth Edition; PostgreSQL 8 for Windows; and Professional Linux Programming. Christine Bresnahan began working as a systems administrator more than 25 years ago. Now an Adjunct Professor at Ivy Tech Community College, she teaches Python programming, Linux administration and computer security. She is coauthor of The Linux Bible, Eighth Edition. With Blum, she also coauthored Linux Command Line & Shell Scripting Bible, Second Edition. Get your Raspberry Pi and choose the right low-cost peripherals Set up Raspian Linux and the Python programming environment Learn Python basics, including arithmetic and structured commands Master Python 3 lists, tuples, diction-aries, sets, strings, files, and modules Reuse the same Python code in multiple locations with functions Manipulate string data efficiently with regular expressions Practice simple object-oriented programming techniques Use exception handling to make your code more reliable Program modern graphical user interfaces with Raspberry Pi and OpenGL Create Raspberry Pi games with the PyGame library Learn network, web, and database techniques you can also use in business software Write Python scripts that send email Interact with other devices through Raspberry Pi’s GPIO interface Walk through example Raspberry Pi projects that inspire you to do even more On the Web: Register your book at informit.com/title/9780672337642 for access to all code examples from the book, as well as update and corrections as they become available.

Author : Steven Keller
Publisher : Createspace Independent Publishing Platform
Page : 114 pages
File Size : 46,7 Mb
Release : 2016-12-01
Category : Electronic
ISBN : 1540636577

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R Programming for Beginners by Steven Keller Pdf

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

Author : Tilman M. Davies
Publisher : No Starch Press
Page : 833 pages
File Size : 53,6 Mb
Release : 2016-07-16
Category : Computers
ISBN : 9781593277796

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The Book of R by Tilman M. Davies Pdf

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Author : Sengan Baring-Gould
Publisher : Pearson Education
Page : 576 pages
File Size : 48,7 Mb
Release : 2009-10-15
Category : Computers
ISBN : 0768695562

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Sams Teach Yourself Cocoa Touch Programming in 24 Hours by Sengan Baring-Gould Pdf

In Full Color Code samples are syntax highlighted as in Xcode!! In just 24 sessions of one hour or less, learn how to build powerful mobile applications with Apple’s Cocoa Touch technology for the iPhone and iPod touch! Using this book’s straightforward, step-by-step approach, you’ll master every skill and technology you need, from handling user interaction and building effective user interfaces to accessing the Internet, playing media, and using the iPhone and iPod touch’s incredible sensing capabilities. Each lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success! Step-by-step instructions carefully walk you through the most common Cocoa Touch programming tasks. Quizzes and Exercises at the end of each chapter help you test your knowledge. By the Way notes present interesting information related to the discussion. Did You Know? tips offer advice or show you easier ways to perform tasks. Watch Out! cautions alert you to possible problems and give you advice on how to avoid them. Write simple, efficient code that reflects a clear understanding of how Cocoa Touch works and why it works that way Build great iPhone/iPod touch user interfaces from the ground up Display tables and provide for clear navigation Access the Internet and networks and show web pages Save and retrieve data, including user preferences Understand how the Cocoa Touch runtime loop interacts with your application Draw and manipulate images Create complex animations such as Cover Flow Build applications that play and record media Use the iPhone’s built-in accelerometer, GPS capabilities, and WiFi support Share data via custom URLs, emails, and other techniques Find and fix common Cocoa Touch software bugs, fast Avoid the performance bottlenecks that affect Cocoa Touch code

Author : I. T. Starter Series
Publisher : Createspace Independent Publishing Platform
Page : 52 pages
File Size : 45,5 Mb
Release : 2018-04-14
Category : Electronic
ISBN : 1717004385

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R Programming by I. T. Starter Series Pdf

R Programming: Learn the Basics of R Programming in One Week Why and how should you use R? If you have ever asked these questions then this book was written for you. R Programming has plenty of unique features making it different from other programming languages. This guide shows you how to talk to R and how the R engine reads the code you have written. Learn everything you need to understand how to leverage this extremely versatile toolbox used by a widespread community of academicians, practitioners, programmers, and users in R Programming: Beginner's Guide on R Programming, by the IT Starter Series. This short guidebook gives you all the necessary basics. IT Starter Series breaks down terminology that may otherwise be confusing, offers systematically simple to follow directions, and breaks down the confusion of just getting started into easy to handle, actionable instructions. This free program processes more than just statistics and has broken into the world of data processing, graphic visualization, and other types of analysis. With IT Starter Series' easy to follow guidance you will learn: The history, advantages, and unique features of R Programming Why R is unlike C or Java How to work with a Code Editor and issue a simple command How to use R to do simple math, use vectors, store and calculate values How to use the full power of functions How to find, install, load and unload packages, and so much more.... By the end of R Programming: Learn the Basics of R Programming in One Week you will be able to contrast your own mathematical operations and use those to work on large amounts of data. This guide is a great resource for anyone looking to understand and use R Programming. You will learn basic functions that will start you on your journey to creating more complicated functions. Keep this guide handy to refer to again and again along with your analysis journey. This guide for beginners covers the basics of what R Programming is and how you can use it to your advantage. Get your copy today!

Author : Kun Ren
Publisher : Packt Publishing Ltd
Page : 576 pages
File Size : 49,7 Mb
Release : 2016-10-28
Category : Computers
ISBN : 9781785880629

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Learning R Programming by Kun Ren Pdf

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.