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QuickBooks Online For Dummies
by David H. Ringstrom Elaine MarmelMaster the world’s most popular cloud software for bookkeeping and accounting. QuickBooks Online For Dummies, 6th Edition collects and provides the best and most current information available for those looking to get the most out of the leading QuickBooks Online software. Perfect for small business owners, managers, and employees, QuickBooks Online For Dummies delivers the newest and most up-to-date advice based on the latest versions of QuickBooks Online. The 6th Edition is written by a seasoned author of more than seventy books. Whether you’re a QuickBooks Online newbie or seasoned pro, you’ll find actionable and accessible advice in this new edition. Get tips on: · Creating invoices and credit memos · Recording sales receipts · Recording and paying bills · Setting up inventory items · Tracking business checkbook and credit cards · And more No longer will you have to struggle through your interactions with the most used bookkeeping and accounting software in the world. Master this technology with the straightforward and accessible approach made famous by the For Dummies series.
QuickBooks Online For Dummies, 2025 Edition
by David H. RingstromDiscover all the ways you can use cloud-based accounting for your business with this top guide QuickBooks Online For Dummies, 2025 Edition helps you understand one of the most widely-used cloud accounting platforms worldwide. Choose the best subscription for your business, create invoices and credit memos, record sales receipts, pay bills, set up inventory items, track business checkbook and credit cards, print checks, process payroll and prepare payroll tax returns, simplify tax preparation, build a budget, balance accounts, back up your data and access it on any device—the list goes on and this beginner-friendly book teaches you how to do it all. Chock full of useful tips and tricks, this golden guide makes small business accounting through QuickBooks Online a breeze—saving you time and money. Plus, this edition covers the latest features and shows you how QuickBooks uses AI to make accounting even easier for you and your needs. Subscribe to QuickBooks Online, import your business data, and utilize cloud-based accounting Get clear and visual instructions on how to perform basic and advanced accounting tasks Discover new features such as QuickBooks Ledger and find tools that suit business needs Analyze your accounting data to make better business decisions For business owners, managers, and employees, this essential Dummies resource helps you make the most of QuickBooks Online.
QuickBooks Online For Dummies Australian Edition
by Elaine Marmel Priscilla MeliOrganise business finances with the latest cloud-based accounting innovation QuickBooks Online For Dummies, Australian Edition is your key guide to getting business finances under control. From budgeting and payroll to tax, inventory, accounts and beyond, this book shows you everything you need to know to keep the cash flow flowing. Whether you're a small business owner, accountant or bookkeeper, this guide walks you through essential bookkeeping tasks, and hands-on tutorials provide quick and practical instruction using the QuickBooks Online and QuickBooks Online Accountant cloud-based accounting solution. Stop juggling files and notes and calendars, stressing about what's due, what's coming and what you may have overlooked; this book shows you how to track and manage everything in one place, with alerts, reminders and detailed reports that help you gain a clearer picture of the business's financial state -- and all you need is an internet connection. Using the many helpful, timesaving features of QuickBooks Online and QuickBooks Online Accountant to their utmost capability requires a little insider knowledge and hands-on instruction; this book has you covered, with clear, practical guidance to help you: Manage payroll, invoices and accounts payable Track inventory, costs and expenses Create reports and simplify tax return preparation Organise finances in one intuitive place Wouldn't you enjoy the peace of mind that comes from knowing that your finances are under control? Wouldn't you prefer the freedom to access the books on any device, at any time? QuickBooks Online can help with that, and QuickBooks Online For Dummies, Australian Edition is the ultimate guide to working with the latest innovation in cloud-based accounting.
QuickBooks Simple Start For Dummies
by Stephen L. NelsonGet expert advice on daily, monthly, and yearly activitiesDefine your business, maintain records, manage sales tax, and produce reportsSo you've pulled off the corporate highway and started your own business? Good for you! Now you need a small business accountant, and guess what? With QuickBooks Simple Start and this handy guide, it just might be YOU! Find out how to set up an accounting system, prepare invoices, pay expenses, organize your tax stuff, and more.The Dummies Way* Explanations in plain English* "Get in, get out" information* Icons and other navigational aids* Tear-out cheat sheet* Top ten lists* A dash of humor and funDiscover how to:* Install Simple Start and understand its features* Create invoices and sales receipts* Save big on business taxes* Set up and reconcile bank accounts* Measure your profits
Quicken 2006 for Starters: The Missing Manual
by Bonnie BiaforeIntuit's Quicken is one of today's most popular and convenient ways to keep track of personal finances, and Quicken 2006 For Starters: The Missing Manual for Windows is the indispensable guide to using the program to simplify your finances and make the most of your money. Whether you're new to electronic banking or just new to Quicken, this refreshingly funny and sensible book zeroes in on exactly what you need to get into Quicken fast. It teaches you how do such essential things as: balance your checkbook on your computer, keep tabs on your spending, create and manage a budget, monitor and pay bills on time, determine more ways to save and stick to your savings plan, manage loans and maximize investments, make tax preparation easier (even find hidden tax deductions!), and much more. Financial-software writer and personal finance expert Bonnie Biafore delivers clear explanations and step-by-step instructions for the Quicken features you need, as well as relevant advice and plenty of real-world examples. Beginners will appreciate Biafore's clear guidance on how to set up Quicken to streamline their money management tasks. Power users will benefit from her insightful tips, tricks, and shortcuts for working around Quicken's idiosyncrasies and saving even more time and money. The book is designed to help you get up to speed fast. Biafore steps you through the basics of Quicken. Then, as you become a more efficient and sophisticated Quicken user, she helps you take advantage of the program's little-known but powerful features. And throughout the book, she offers invaluable money-management principles. You'll be generating useful reports and graphs with ease; ensuring accuracy and consistency among all your accounts; and planning, saving, and controlling your finances like never before. The book that gives you exactly what you need, Quicken 2006 For Starters: The Missing Manual helps you quickly make the most of Quicken 2006 for Windows.
Quicken 2008: The Missing Manual
by Bonnie BiaforeQuicken is one of the many convenient ways to keep track of personal finances, but many people are unaware of Quicken's power and end up using only the basic features. And sometimes Quicken seems to raise more questions than it answers: Return of capital from stock? "Net worth"? What are they and why do you need to know about them? Luckily, Quicken 2008: The Missing Manual picks up where Quicken's help resources leave off. You'll find step-by-step instructions for using Quicken on your Windows PC, including useful features such as budgeting, recording investment transactions, and archiving Quicken data files. You also learn why and when to use specific features, and which ones would be most useful in a given situation. Quicken 2008: The Missing Manual helps you: Set up Quicken to take care of your specific needs Follow your money from the moment you earn it Make deposits, pay for expenses, track the things you own and how much you owe Take care of financial tasks online, and quickly reconcile your accounts Create and use budgets and track your investments Generate reports to prepare your tax returns and evaluate your financial fitness And a lot more. This book is designed to accommodate readers at every technical level. If you're a first-time Quicken user, special boxes with the title "Up To Speed" provide the introductory information you need to understand the topic at hand. For advanced users, there are similar boxes called "Power Users' Clinic" that offer more technical tips, tricks, and shortcuts for the experienced Quicken fan. For a topic as important as your personal finances, why trust anything else?
Quicken 2009: The Missing Manual (Missing Manual)
by Bonnie BiaforeQuicken is a convenient way to keep track of personal finances, but many people are unaware of Quicken's power and end up using only the basic features. Sometimes Quicken raises more questions than it answers: Return of capital from stock? Net worth? What are they and why do you need to know about them? Luckily, Quicken 2009: The Missing Manual picks up where Quicken's help resources leave off. You'll find step-by-step instructions for using Quicken on your Windows PC, including useful features such as budgeting, recording investment transactions, and archiving Quicken data files. You also learn why and when to use specific features, and which ones would be most useful in a given situation. This book helps you:Set up Quicken to take care of your specific needs Follow your money from the moment you earn it Make deposits, pay for expenses, and track the things you own and how much you owe Take care of financial tasks online, and quickly reconcile your accounts Create and use budgets and track your investments Generate reports to prepare your tax returns and evaluate your financial fitness And a lot more. Quicken 2009: The Missing Manual accommodates readers at every technical level, whether you're a first-time or advanced Quicken user. For a topic as important as your personal finances, why trust anything else?
Quicken 2009 For Dummies
by Stephen L. NelsonIf just thinking about financial management gives you a headache, personal finance software is better than aspirin. Quicken is tops, and Quicken 2009 For Dummies is the quickest and easiest way to put it to work.Here's the plain-English guide to using the newest update of the nation's leading personal finance software. A leading CPA shows you how to track your finances day to day, keep your checkbook and pay bills online, and even plan for tax time with Quicken. Learn as much or as little as you need to know -- just how to keep your checkbook straight, or even how Quicken helps manage stocks and the business end of rental property.Install and set up Quicken 2009, or update data files from a previous versionLearn to make a budget that's flexible enough to work for your family or your businessKeep your checkbook up to date, handle banking transactions online, and use Quicken calculatorsPrint Quicken reports to help you track cash flow, identify missing checks, summarize spending, and moreSet up tax-deferred or brokerage accounts and buy and sell securitiesTrack your credit cards and bank accounts as well as mortgages, loans, and other debtsUse Quicken's Home & Business or Rental Property Manager versions to keep your business booksHandle payroll for business or household employeesTrack deductions to make tax preparation easierWith Quicken 2009 For Dummies, you'll feel like a financial wizard!
Quicken 2011 For Dummies
by Stephen L. NelsonThe classic guide to the leading personal finance software—completely updated! As the number one personal finance software on the market, Quicken empowers you to take control of your personal finances quickly and effortlessly. Providing you with a thorough update of all the latest features and enhancements to the new release of Quicken 2011, Stephen Nelson shows you how to track your day-to-day finances, better manage your investments, evaluate the tax implications of your financial decisions, and much more. Veteran author Stephen Nelson provides a thorough update to his classic bestseller on the number one personal financial management planning program Shows you how to track your day-to-day finances, better manage your investments, boost your personal savings, be more responsible with your spending, tackle debt, and more Presents a fun and friendly approach to a topic that many people find intimidating or overwhelming and quickly and easily helps you take control of your personal finances Whether you're a first-time Quicken customer or looking to take advantage of the updates the latest release has to offer, Quicken 2011 For Dummies offers a straightforward-but-fun approach to this popular personal finance software.
Quickstart Apache Axis2
by Deepal JayasingheThis is a step by step practical guide for developing web services using Apache Axis2. There are lot of real-life examples, which makes this book a good learning material. This book is for Java developers who are interested in building web services using Apache Axis2. The book presumes that you are familiar with web standards like SOAP, WSDL and XML parsing.
Quickstart Python: An Introduction to Programming for STEM Students (essentials)
by Christoph SchäferChristoph Schäfer introduces the great world of programming with Python and provides a quick introduction to independent script development. He points out how the programming language Python has established itself in recent years alongside MATLAB and R as a standard at scientific workplaces in research and development, and shows that the great popularity of Python is based on its easy extensibility: It is very easy to use modules from other developers in your own scripts and programs. In particular, the author presents the modules NumPy, SciPy and Matplotlib, which offer scientists and engineers a perfect development environment for scientific and technical computing, for applications in physics, chemistry, biology and computer science. Python is also used in the latest applications in the highly topical fields of Big Data Science and Machine Learning. The author: Dr. Christoph Schäfer teaches and researches in the Department of Computational Physics at the Institute of Astronomy and Astrophysics at the Eberhard Karls University of Tübingen. This Springer essential is a translation of the original German 1st edition essentials, Schnellstart Python by Christoph Schäfer, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.
QuickTime for Java: A Developer's Notebook
by Chris AdamsonJava developers who need to add audio, video, or interactive media creation and playback to their applications find that QuickTime Java is a powerful toolkit, but one that's not easy to get into. This book offers the first real look at this important software with an informal, code-intensive style that lets impatient early adopters focus on learning by doing. You get just the functionality you need.
¿Quién controla el futuro?
by Jaron LanierLúcido, original y provocador, ¿Quién controla el futuro? es una lectura necesaria para todos los que vivimos en un mundo parcialmente digital. Jaron Lanier, uno de los pensadores más influyentes de la actualidad, es autor de la obra fundamental sobre internet Contra el rebaño digital y padre de la realidad virtual. Desde hace décadas, Lanier ha aprovechado su experiencia para reflexionar acerca de cómo la tecnología transforma nuestra sociedad y nuestra cultura. ¿Quién controla el futuro? es la perspectiva de un pensador visionario sobre la cuestión económica y social más importante de la actualidad: la perniciosa concentración de dinero y poder en las redes digitales. Lanier piensa que el auge de las redes digitales ha conducido nuestras economías a la recesión y ha diezmado las clases medias. A medida que la tecnología destruye más y más sectores -desde medios de comunicación hasta la medicina o la industria-, afrontamos mayores desafíos al empleo y la prosperidad individual. Pero hay una alternativa a permitir que la tecnología se apropie de nuestro futuro. En esta obra tan ambiciosa como sensible al devenir humano, Lanier dibuja el camino hacia una nueva economía de la información que respetará a la sociedad y le permitirá crecer. Es hora de que la gente común sea recompensada por lo que crea y lo que comparte en red. La crítica ha dicho... «El libro más importante del año. Ideas provocadoras y heterodoxas para conseguir que la inevitable primacía del software en la sociedad sea provechosa en vez de dañina.» Joe Nocera, The New York Times «Son legión los que se quejan de internet, pero ni uno hace nada para remediarlo; excepto Jaron Lanier.»Neal Stephenson «Un libro inteligente y accesible que lanza una mirada crítica al mundo digital y pone de manifiesto su lamentable estado.»Carolyn Kellogg, Los Angeles Times «Atrevido, original y muy imaginativo. Lanier es tan entretenido y accesible como lúcido.»Janet Maslin, The New York Times «Provocador y polémico, una lectura esencial.»The Washington Post «Uno de los mejores libros escépticos acerca del mundo digital.»Salon «Este ambicioso libro busca ayudar a la gente corriente a sobrevivir y prosperar en una época en que los avances en informática reducen las posibilidades de encontrar empleo.»USA Today «Un correctivo muy útil. Si se produce un éxodo digital, Lanier será su Moisés.»San Francisco Chronicle
The Quiet Crypto Revolution: How Blockchain and Cryptocurrency Are Changing Our Lives
by Klaas JungCrypto is going to change the world, and for those tired of confusing financial jargon and complicated technical terminology, look no further. This book demystifies the world of cryptocurrencies and blockchain technology and explains in accessible language how it will affect your daily life. In The Quiet Crypto Revolution, Klaas Jung dives beneath the surface of Bitcoin to explore the engine that powers it - blockchain. Far surpassing the confines of cryptocurrencies, blockchain's potential for wide-ranging applications is enormous. It's crucial to understand that cryptocurrencies are merely a single manifestation of blockchain's capabilities. This book casts light on the broader spectrum of blockchain applications and the exciting future of this groundbreaking technology. With a focus on real-world applications, you'll gain a deeper understanding of the key concepts behind the innovative technology of blockchain, equipping you to make informed decisions. Whether you're a tech-savvy individual or a complete newcomer to the world of crypto and finance, this book will arm you with the knowledge and insights you need to understand the impact cryptocurrency and blockchain will have on your future.You WillLook at the future of blockchain technologyReview potential use cases for blockchain beyond cryptocurrencyStudy security strategies to avoid scams in the crypto spaceWho This Book Is ForBeginners who would like to gain a better understanding of cryptocurrency and the technology that supports it.
R: Data Analysis and Visualization
by Gergely Gabler Gergely Daroczi Péter Medvegyev Balázs Márkus Ágnes Vidovics-Dancs Edina Berlinger Ágnes Tuza Tony Fischetti Kata Váradi Bater Makhabel Hrishi V. Mittal Barbara Dömötör Tamás Vadász István Margitai Péter Juhász Brett Lantz Julia Molnár Dániel Havran Balázs Árpád Szucs Jaynal Abedin Milan Badics Adam Banai Ferenc IllesMaster the art of building analytical models using R About This Book * Load, wrangle, and analyze your data using the world's most powerful statistical programming language * Build and customize publication-quality visualizations of powerful and stunning R graphs * Develop key skills and techniques with R to create and customize data mining algorithms * Use R to optimize your trading strategy and build up your own risk management system * Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Who This Book Is For This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analytical design framework. It's a seamless journey in becoming a full-stack R developer What You Will Learn * Describe and visualize the behavior of data and relationships between data * Gain a thorough understanding of statistical reasoning and sampling * Handle missing data gracefully using multiple imputation * Create diverse types of bar charts using the default R functions * Produce and customize density plots and histograms with lattice and ggplot2 * Get to know the top classification algorithms written in R * Familiarize yourself with algorithms written in R for spatial data mining, text mining, and so on * Understand relationships between market factors and their impact on your portfolio * Harness the power of R to build machine learning algorithms with real-world data science applications * Learn specialized machine learning techniques for text mining, big data, and more In Detail The R learning path created for you has five connected modules,which are a mini-course in their own right.As you complete each one, you'll have gained key skills and be ready for the material in the next module! This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough understanding of statistical reasoning and sampling. Finally, you'll be able to put best practices into effect to make your job easier and facilitate reproducibility. The second place to explore is R Graphs,which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. Through inspecting large datasets using tableplot and stunning 3D visualizations, you will know how to produce, customize, and publish advanced visualizations using this popular and powerful framework. With the third module, Learning Data Mining with R, you will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. You will finish this module feeling confident in your ability to know which data mining algorithm to apply in any situation. The Mastering R for Quantitative Finance module pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the module, you will be well-versed with various financial techniques using R and will be able to place good bets while making financial decisions. Finally, we'll look at the Machine Learning with R module. With this module, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. You'll also learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering. Style and approach Learn data analysis, data visualization techniques, data mining, and machine learning all using R and also learn to build models in quantitative finance using this powerful language
R: Recipes for Analysis, Visualization and Machine Learning
by Atmajitsinh Gohil Shanthi Viswanathan Viswa Viswanathan Yu-Wei ChiuGet savvy with R language and actualize projects aimed at analysis, visualization and machine learning About This Book * Proficiently analyze data and apply machine learning techniques * Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R * Construct a predictive model by using a variety of machine learning packages Who This Book Is For This Learning Path is ideal for those who have been exposed to R, but have not used it extensively yet. It covers the basics of using R and is written for new and intermediate R users interested in learning. This Learning Path also provides in-depth insights into professional techniques for analysis, visualization, and machine learning with R - it will help you increase your R expertise, regardless of your level of experience. What You Will Learn * Get data into your R environment and prepare it for analysis * Perform exploratory data analyses and generate meaningful visualizations of the data * Generate various plots in R using the basic R plotting techniques * Create presentations and learn the basics of creating apps in R for your audience * Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm * Visualize associations in various graph formats and find frequent itemset using the ECLAT algorithm * Build, tune, and evaluate predictive models with different machine learning packages * Incorporate R and Hadoop to solve machine learning problems on big data In Detail The R language is a powerful, open source, functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics. This Learning Path is chock-full of recipes. Literally! It aims to excite you with awesome projects focused on analysis, visualization, and machine learning. We'll start off with data analysis - this will show you ways to use R to generate professional analysis reports. We'll then move on to visualizing our data - this provides you with all the guidance needed to get comfortable with data visualization with R. Finally, we'll move into the world of machine learning - this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: * R Data Analysis Cookbook by Viswa Viswanathan and Shanthi Viswanathan * R Data Visualization Cookbook by Atmajitsinh Gohil * Machine Learning with R Cookbook by Yu-Wei, Chiu (David Chiu) Style and approach This course creates a smooth learning path that will teach you how to analyze data and create stunning visualizations. The step-by-step instructions provided for each recipe in this comprehensive Learning Path will show you how to create machine learning projects with R.
R: Unleash Machine Learning Techniques
by Dipanjan Sarkar Brett Lantz Raghav Bali Cory LesmeisterFind out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book * Build your confidence with R and find out how to solve a huge range of data-related problems * Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today * Don't just learn - apply your knowledge by following featured practical projects covering everything from financial modeling to social media analysis Who This Book Is For Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science What You Will Learn * Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results * Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action * Solve interesting real-world problems using machine learning and R as the journey unfolds * Write reusable code and build complete machine learning systems from the ground up * Learn specialized machine learning techniques for text mining, social network data, big data, and more * Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems * Evaluate and improve the performance of machine learning models * Learn specialized machine learning techniques for text mining, social network data, big data, and more In Detail R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it... This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you'll get to grips with the fundamentals of R. This means you'll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems. For the following two modules we'll begin to investigate machine learning algorithms in more detail. To build upon the basics, you'll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they're all focused on solving real problems in different areas, ranging from finance to social media. This Learning Path has been curated from three Packt products: * R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar * Machine Learning with R Learning - Second Edition By Brett Lantz * Mastering Machine Learning with R By Cory Lesmeister Style and approach This is an enticing learning path that starts from the very basics to gradually pick up pace as the story unfolds. Each concept is first defined in the larger context of things succinctly, followed by a detailed explanation of their application. Each topic is explained with the help of a project that solves a real-world problem involving hands-on work thus giving you a deep insight into the world of machine learning.
R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
by Thomas MailundIn this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub.. What You'll LearnImplement applicable R 4 programming language specification featuresImport data with readrWork with categories using forcats, time and dates with lubridate, and strings with stringrFormat data using tidyr and then transform that data using magrittr and dplyrWrite functions with R for data science, data mining, and analytics-based applicationsVisualize data with ggplot2 and fit data to models using modelrWho This Book Is ForProgrammers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended.
R 4 Quick Syntax Reference: A Pocket Guide to the Language, API's and Library
by Margot TollefsonThis handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more.Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. Some of the new material includes information on RStudio, S4 syntax, working with character strings, and an example using the Twitter API.With a copy of the R 4 Quick Syntax Reference in hand, you will find that you are able to use the multitude of functions available in R and are even able to write your own functions to explore and analyze data.What You Will LearnDiscover the modes and classes of R objects and how to use themUse both packaged and user-created functions in R Import/export data and create new data objects in RCreate descriptive functions and manipulate objects in RTake advantage of flow control and conditional statementsWork with packages such as base, stats, and graphicsWho This Book Is ForThose with programming experience, either new to R, or those with at least some exposure to R but who are new to the latest version.
R All-in-One For Dummies
by Joseph SchmullerA deep dive into the programming language of choice for statistics and data With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we’re all swimming in. Maybe you’re pursuing a career in data science, maybe you’re looking to infuse a little statistics know-how into your existing career, or maybe you’re just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You’ll find coverage of statistical analysis, machine learning, and data management with R. Grasp the basics of the R programming language and write your first lines of code Understand how R programmers use code to analyze data and perform statistical analysis Use R to create data visualizations and machine learning programs Work through sample projects to hone your R coding skill This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R.
R Alles-in-einem-Band für Dummies (Für Dummies)
by Joseph SchmullerWenn Sie R von Grund auf kennenlernen und auch die fortgeschrittenen Techniken zur Lösung gängiger Aufgaben bei der Datenanalyse mit R beherrschen möchten, dann liegen Sie mit diesem Buch goldrichtig. Es bietet Ihnen nicht nur einen Überblick über die Programmierung in R und die Arbeit mit der Sprache, sondern geht auch auf die Arten von Projekten und Anwendungen ein, die R-Entwicklerinnen und -Entwickler häufig in Angriff nehmen müssen. Statistische Analysen, Datenvisualisierungen, maschinelles Lernen und Datenmanagement mit R: All das lernen Sie mit diesem Buch intensiv kennen.
R Bioinformatics Cookbook: Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
by Dan MacLeanOver 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Key Features Apply modern R packages to handle biological data using real-world examples Represent biological data with advanced visualizations suitable for research and publications Handle real-world problems in bioinformatics such as next-generation sequencing, metagenomics, and automating analyses Book Description Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R Bioinformatics Cookbook, you'll explore all this and more, tackling common and not-so-common challenges in the bioinformatics domain using real-world examples. This book will use a recipe-based approach to show you how to perform practical research and analysis in computational biology with R. You will learn how to effectively analyze your data with the latest tools in Bioconductor, ggplot, and tidyverse. The book will guide you through the essential tools in Bioconductor to help you understand and carry out protocols in RNAseq, phylogenetics, genomics, and sequence analysis. As you progress, you will get up to speed with how machine learning techniques can be used in the bioinformatics domain. You will gradually develop key computational skills such as creating reusable workflows in R Markdown and packages for code reuse. By the end of this book, you'll have gained a solid understanding of the most important and widely used techniques in bioinformatic analysis and the tools you need to work with real biological data. What you will learn Employ Bioconductor to determine differential expressions in RNAseq data Run SAMtools and develop pipelines to find single nucleotide polymorphisms (SNPs) and Indels Use ggplot to create and annotate a range of visualizations Query external databases with Ensembl to find functional genomics information Execute large-scale multiple sequence alignment with DECIPHER to perform comparative genomics Use d3.js and Plotly to create dynamic and interactive web graphics Use k-nearest neighbors, support vector machines and random forests to find groups and classify data Who this book is for This book is for bioinformaticians, data analysts, researchers, and R developers who want to address intermediate-to-advanced biological and bioinformatics problems by learning through a recipe-based approach. Working knowledge of R programming language and basic knowledge of bioinformatics are prerequisites.
The R Book
by Elinor Jones Simon Harden Michael J. CrawleyA start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text—readable from cover to cover—and as a reference manual for practitioners seeking authoritative guidance on particular topics. This latest edition offers instruction on the use of the RStudio GUI, an easy-to-use environment for those new to R. It provides readers with a complete walkthrough of the R language, beginning at a point that assumes no prior knowledge of R and very little previous knowledge of statistics. Readers will also find: A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R; Comprehensive explorations of worked examples in R; A complementary companion website with downloadable datasets that are used in the book; In-depth examination of essential R packages. Perfect for undergraduate and postgraduate students of science, engineering, medicine economics, and geography, The R Book will also earn a place in the libraries of social sciences professionals.
R by Example (Use R!)
by Jim Albert Maria RizzoNow in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R. The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.