Mastering R

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Mastering Shiny

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149204735X
Total Pages : 372 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Mastering Shiny by : Hadley Wickham

Download or read book Mastering Shiny written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2021-04-29 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production

Mastering Spark with R

Author : Javier Luraschi
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492046329
Total Pages : 296 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Mastering Spark with R by : Javier Luraschi

Download or read book Mastering Spark with R written by Javier Luraschi and published by "O'Reilly Media, Inc.". This book was released on 2019-10-07 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

Mastering R

Author : Andrea M. Lazzari
Publisher :
ISBN 13 : 9781416411802
Total Pages : pages
Book Rating : 4.4/5 (118 download)

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Book Synopsis Mastering R by : Andrea M. Lazzari

Download or read book Mastering R written by Andrea M. Lazzari and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ""R" is one of the most frequently misarticulated sounds in English (Hegde, 2019; Shriberg, 2009). SLPs may devote a significant amount of therapy hours addressing remediation of /r/. The repetitive nature of articulation practice can cause both the student/client and therapist to lose the high level of interest and energy needed to remain focused on targeted, repeated practice that assures generalization of correct sound production. Mastering R: Advanced Articulation Exercises provides SLPs and their students/clients with a wealth of opportunities for practicing the production of /r/ in various contexts to promote generalization. Hodson & Paden (1991) recommend planning remediation to take advantage of the tendency to generalize. Mastering R is intended as a generalization resource to be used after initial instruction in the production of /r/ in isolation, syllables and single words. Mastering R presents novel stimulus items incorporating contemporary topics, references and vocabulary, interesting facts and trivia, and humor, suitable for use with students/clients in grades 4 and above. We have found the use of more engaging and interesting stimulus items tends to increase interest and participation, hopefully increasing the potential for positive therapy outcomes"--

Mastering Data Analysis with R

Author : Gergely Daroczi
Publisher : Packt Publishing Ltd
ISBN 13 : 1783982039
Total Pages : 397 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Mastering Data Analysis with R by : Gergely Daroczi

Download or read book Mastering Data Analysis with R written by Gergely Daroczi and published by Packt Publishing Ltd. This book was released on 2015-09-30 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful databases Successfully fetch and parse structured and unstructured data Transform and restructure your data with efficient R packages Define and build complex statistical models with glm Develop and train machine learning algorithms Visualize social networks and graph data Deploy supervised and unsupervised classification algorithms Discover how to visualize spatial data with R In Detail R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently. This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage. Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods. Style and approach Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

Mastering Machine Learning with R

Author : Cory Lesmeister
Publisher : Packt Publishing Ltd
ISBN 13 : 1783984538
Total Pages : 400 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Mastering Machine Learning with R by : Cory Lesmeister

Download or read book Mastering Machine Learning with R written by Cory Lesmeister and published by Packt Publishing Ltd. This book was released on 2015-10-28 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master machine learning techniques with R to deliver insights for complex projects About This Book Get to grips with the application of Machine Learning methods using an extensive set of R packages Understand the benefits and potential pitfalls of using machine learning methods Implement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML system Who This Book Is For If you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful. What You Will Learn Gain deep insights to learn the applications of machine learning tools to the industry Manipulate data in R efficiently to prepare it for analysis Master the skill of recognizing techniques for effective visualization of data Understand why and how to create test and training data sets for analysis Familiarize yourself with fundamental learning methods such as linear and logistic regression Comprehend advanced learning methods such as support vector machines Realize why and how to apply unsupervised learning methods In Detail Machine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of “Unsupervised techniques”. Finally, the book will walk you through text analysis and time series. The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages. Style and approach This is a book explains complicated concepts with easy to follow theory and real-world, practical applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints.

Mastering Text Mining with R

Author : Ashish Kumar
Publisher : Packt Publishing Ltd
ISBN 13 : 1782174702
Total Pages : 259 pages
Book Rating : 4.7/5 (821 download)

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Book Synopsis Mastering Text Mining with R by : Ashish Kumar

Download or read book Mastering Text Mining with R written by Ashish Kumar and published by Packt Publishing Ltd. This book was released on 2016-12-28 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master text-taming techniques and build effective text-processing applications with R About This Book Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide Gain in-depth understanding of the text mining process with lucid implementation in the R language Example-rich guide that lets you gain high-quality information from text data Who This Book Is For If you are an R programmer, analyst, or data scientist who wants to gain experience in performing text data mining and analytics with R, then this book is for you. Exposure to working with statistical methods and language processing would be helpful. What You Will Learn Get acquainted with some of the highly efficient R packages such as OpenNLP and RWeka to perform various steps in the text mining process Access and manipulate data from different sources such as JSON and HTTP Process text using regular expressions Get to know the different approaches of tagging texts, such as POS tagging, to get started with text analysis Explore different dimensionality reduction techniques, such as Principal Component Analysis (PCA), and understand its implementation in R Discover the underlying themes or topics that are present in an unstructured collection of documents, using common topic models such as Latent Dirichlet Allocation (LDA) Build a baseline sentence completing application Perform entity extraction and named entity recognition using R In Detail Text Mining (or text data mining or text analytics) is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages. Starting with basic information about the statistics concepts used in text mining, this book will teach you how to access, cleanse, and process text using the R language and will equip you with the tools and the associated knowledge about different tagging, chunking, and entailment approaches and their usage in natural language processing. Moving on, this book will teach you different dimensionality reduction techniques and their implementation in R. Next, we will cover pattern recognition in text data utilizing classification mechanisms, perform entity recognition, and develop an ontology learning framework. By the end of the book, you will develop a practical application from the concepts learned, and will understand how text mining can be leveraged to analyze the massively available data on social media. Style and approach This book takes a hands-on, example-driven approach to the text mining process with lucid implementation in R.

Mastering Django: Core

Author : Nigel George
Publisher : Packt Publishing Ltd
ISBN 13 : 1787286347
Total Pages : 672 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Mastering Django: Core by : Nigel George

Download or read book Mastering Django: Core written by Nigel George and published by Packt Publishing Ltd. This book was released on 2016-12-23 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delivers absolutely everything you will ever need to know to become a master Django programmer About This Book Gain a complete understanding of Django—the most popular, Python-based web framework in the world Gain the skills to successfully designing, developing, and deploying your app This book is packaged with fully described code so you can learn the fundamentals and the advanced topics to get a complete understanding of all of Django's core functions Who This Book Is For This book assumes you have a basic understanding of the Internet and programming. Experience with Python or Django would be an advantage, but is not necessary. It is ideal for beginner to intermediate programmers looking for a fast, secure, scalable, and maintainable alternative web development platform to those based on PHP, Java, and dotNET. What You Will Learn Use Django to access user-submitted form data, validate it, and work with it Get to know advanced URLconf tips and tricks Extend Django's template system with custom code Define models and use the database API to create, retrieve, update, and delete records Fully extend and customize the default implementation as per your project's needs Test and deploy your Django application Get to know more about Django's session, cache Framework, and middleware In Detail Mastering Django: Core is a completely revised and updated version of the original Django Book, written by Adrian Holovaty and Jacob Kaplan-Moss - the creators of Django. The main goal of this book is to make you a Django expert. By reading this book, you'll learn the skills needed to develop powerful websites quickly, with code that is clean and easy to maintain. This book is also a programmer's manual that provides complete coverage of the current Long Term Support (LTS) version of Django. For developers creating applications for commercial and business critical deployments, Mastering Django: Core provides a complete, up-to-date resource for Django 1.8LTS with a stable code-base, security fixes and support out to 2018. Style and approach This comprehensive step-by-step practical guide offers a thorough understanding of all the web development concepts related to Django. In addition to explaining the features of Django, this book provides real-world experience on how these features fit together to build extraordinary apps.

Outstanding User Interfaces with Shiny

Author : David Granjon
Publisher : CRC Press
ISBN 13 : 1000587088
Total Pages : 707 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Outstanding User Interfaces with Shiny by : David Granjon

Download or read book Outstanding User Interfaces with Shiny written by David Granjon and published by CRC Press. This book was released on 2022-08-31 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outstanding User Interfaces with Shiny provides the reader with necessary knowledge to develop beautiful and highly interactive user interfaces. It gives the minimum requirements in HTML/JavaScript and CSS to be able to extend already existing Shiny layouts or develop new templates from scratch. Suitable for anyone with some experience of Shiny, package development and software engineering best practices, this book is an ideal guide for graduates and professionals who wish to bring their app design to the next level. Key Features: Provides a survival kit in web development to seamlessly get started with HTML/CSS/JavaScript Leverage CSS and Sass and higher-level tools like {bslib} to substantially enhance the design of your app in no time A comprehensive guide to the {htmltools} package to seamlessly customize existing layouts Describes in detail how Shiny inputs work and how R and JavaScript communicate Details all the necessary steps to create a production-grade custom template from scratch: packaging, shiny tags creation, validating and testing R components and JavaScript Expose common web development debugging technics Provides a list of existing templates, resources to get started and to explore

Mastering Parallel Programming with R

Author : Simon R. Chapple
Publisher : Packt Publishing Ltd
ISBN 13 : 1784394629
Total Pages : 244 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Mastering Parallel Programming with R by : Simon R. Chapple

Download or read book Mastering Parallel Programming with R written by Simon R. Chapple and published by Packt Publishing Ltd. This book was released on 2016-05-31 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the robust features of R parallel programming to accelerate your data science computations About This Book Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest Become an expert in writing the most efficient and highest performance parallel algorithms in R Get to grips with the concept of parallelism to accelerate your existing R programs Who This Book Is For This book is for R programmers who want to step beyond its inherent single-threaded and restricted memory limitations and learn how to implement highly accelerated and scalable algorithms that are a necessity for the performant processing of Big Data. No previous knowledge of parallelism is required. This book also provides for the more advanced technical programmer seeking to go beyond high level parallel frameworks. What You Will Learn Create and structure efficient load-balanced parallel computation in R, using R's built-in parallel package Deploy and utilize cloud-based parallel infrastructure from R, including launching a distributed computation on Hadoop running on Amazon Web Services (AWS) Get accustomed to parallel efficiency, and apply simple techniques to benchmark, measure speed and target improvement in your own code Develop complex parallel processing algorithms with the standard Message Passing Interface (MPI) using RMPI, pbdMPI, and SPRINT packages Build and extend a parallel R package (SPRINT) with your own MPI-based routines Implement accelerated numerical functions in R utilizing the vector processing capability of your Graphics Processing Unit (GPU) with OpenCL Understand parallel programming pitfalls, such as deadlock and numerical instability, and the approaches to handle and avoid them Build a task farm master-worker, spatial grid, and hybrid parallel R programs In Detail R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources. Mastering Parallel Programming with R presents a comprehensive and practical treatise on how to build highly scalable and efficient algorithms in R. It will teach you a variety of parallelization techniques, from simple use of R's built-in parallel package versions of lapply(), to high-level AWS cloud-based Hadoop and Apache Spark frameworks. It will also teach you low level scalable parallel programming using RMPI and pbdMPI for message passing, applicable to clusters and supercomputers, and how to exploit thousand-fold simple processor GPUs through ROpenCL. By the end of the book, you will understand the factors that influence parallel efficiency, including assessing code performance and implementing load balancing; pitfalls to avoid, including deadlock and numerical instability issues; how to structure your code and data for the most appropriate type of parallelism for your problem domain; and how to extract the maximum performance from your R code running on a variety of computer systems. Style and approach This book leads you chapter by chapter from the easy to more complex forms of parallelism. The author's insights are presented through clear practical examples applied to a range of different problems, with comprehensive reference information for each of the R packages employed. The book can be read from start to finish, or by dipping in chapter by chapter, as each chapter describes a specific parallel approach and technology, so can be read as a standalone.

Mastering Social Media Mining with R

Author : Sharan Kumar Ravindran
Publisher : Packt Publishing Ltd
ISBN 13 : 1784399671
Total Pages : 248 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Mastering Social Media Mining with R by : Sharan Kumar Ravindran

Download or read book Mastering Social Media Mining with R written by Sharan Kumar Ravindran and published by Packt Publishing Ltd. This book was released on 2015-09-23 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extract valuable data from your social media sites and make better business decisions using R About This Book Explore the social media APIs in R to capture data and tame it Employ the machine learning capabilities of R to gain optimal business value A hands-on guide with real-world examples to help you take advantage of the vast opportunities that come with social media data Who This Book Is For If you have basic knowledge of R in terms of its libraries and are aware of different machine learning techniques, this book is for you. Those with experience in data analysis who are interested in mining social media data will find this book useful. What You Will Learn Access APIs of popular social media sites and extract data Perform sentiment analysis and identify trending topics Measure CTR performance for social media campaigns Implement exploratory data analysis and correlation analysis Build a logistic regression model to detect spam messages Construct clusters of pictures using the K-means algorithm and identify popular personalities and destinations Develop recommendation systems using Collaborative Filtering and the Apriori algorithm In Detail With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data. This book will teach you how powerful business cases are solved by applying machine learning techniques on social media data. You will learn about important and recent developments in the field of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using APIs of various social media sites such as Twitter, Facebook, Instagram, GitHub, Foursquare, LinkedIn, Blogger, and other networks. We will provide you with detailed explanations on the implementation of various use cases using R programming. With this handy guide, you will be ready to embark on your journey as an independent social media analyst. Style and approach This easy-to-follow guide is packed with hands-on, step-by-step examples that will enable you to convert your real-world social media data into useful, practical information.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Mastering R for Quantitative Finance

Author : Edina Berlinger
Publisher : Packt Publishing Ltd
ISBN 13 : 1783552085
Total Pages : 362 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Mastering R for Quantitative Finance by : Edina Berlinger

Download or read book Mastering R for Quantitative Finance written by Edina Berlinger and published by Packt Publishing Ltd. This book was released on 2015-03-10 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.

Mastering 'Metrics

Author : Joshua D. Angrist
Publisher : Princeton University Press
ISBN 13 : 0691152845
Total Pages : 300 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Mastering 'Metrics by : Joshua D. Angrist

Download or read book Mastering 'Metrics written by Joshua D. Angrist and published by Princeton University Press. This book was released on 2014-12-21 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Joshua Angrist, winner of the Nobel Prize in Economics, and Jörn-Steffen Pischke, an accessible and fun guide to the essential tools of econometric research Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful. The five most valuable econometric methods, or what the authors call the Furious Five—random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences—are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse. Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect. Shows why econometrics is important Explains econometric research through humorous and accessible discussion Outlines empirical methods central to modern econometric practice Works through interesting and relevant real-world examples

Mastering Scientific Computing with R

Author : Paul Gerrard
Publisher : Packt Publishing Ltd
ISBN 13 : 1783555262
Total Pages : 432 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Mastering Scientific Computing with R by : Paul Gerrard

Download or read book Mastering Scientific Computing with R written by Paul Gerrard and published by Packt Publishing Ltd. This book was released on 2015-01-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn how to quantitatively answer scientific questions for practical purposes using the powerful R language and the open source R tool ecosystem, this book is ideal for you. It is ideally suited for scientists who understand scientific concepts, know a little R, and want to be able to start applying R to be able to answer empirical scientific questions. Some R exposure is helpful, but not compulsory.

Mastering Real Estate Principles

Author : Gerald R. Cortesi
Publisher : Dearborn Trade Publishing
ISBN 13 : 9780793141166
Total Pages : 580 pages
Book Rating : 4.1/5 (411 download)

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Book Synopsis Mastering Real Estate Principles by : Gerald R. Cortesi

Download or read book Mastering Real Estate Principles written by Gerald R. Cortesi and published by Dearborn Trade Publishing. This book was released on 2001 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Looking for a concise, easy-to-read text on real estate principles? You've found it! Mastering Real Estate Principles, now in its Third Edition, offers you a unique, interactive way to learn and really master real estate concepts.

Advanced R

Author : Hadley Wickham
Publisher : CRC Press
ISBN 13 : 1498759807
Total Pages : 669 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Advanced R by : Hadley Wickham

Download or read book Advanced R written by Hadley Wickham and published by CRC Press. This book was released on 2015-09-15 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Zen & the Art of MIXING

Author : Mixerman
Publisher : Mixerman Publishes
ISBN 13 : 0960040560
Total Pages : 281 pages
Book Rating : 4.9/5 (6 download)

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Book Synopsis Zen & the Art of MIXING by : Mixerman

Download or read book Zen & the Art of MIXING written by Mixerman and published by Mixerman Publishes. This book was released on 2021-10-01 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixing is an Attitude
When I think back to my best mixes—regardless of their commercial success—in each and every case, I can only describe the experience as one in which I was working from deep within, outside of any external forces. I wasn't thinking; I was doing. I wasn't scared of what anyone would think. I wasn't scared of failure. All my decisions were made with confidence, and once a judgment was made, I didn't second-guess myself. I allowed the music to guide me, and I based all of my mix decisions on nothing more than one simple criterion: Are the song and production doing what they're supposed to be doing?
That sounds nice, huh? I mean, that's the headspace you want to be in when you're mixing! The problem is, you can't get there if you're focused on all the wrong things, and we're all susceptible to distraction and self-doubt. Great mixing involves trusting yourself, first and foremost. And I can promise you, that trust is downright infectious to everyone on your project.
Who Am I?
I'm Mixerman, a gold and multi-platinum mixer, producer, and recordist. I've been mixing professionally and at a high level for over three decades now., and I can assure you, great mixing isn't about manipulating sound. It's about the decisions you make in regards to the music, the balances, and how you use the arrangement to push the listener forward through the song. This is accomplished thought concrete strategies and techniques, that I'm uniquely qualified to offer you.
Boost Your Confidence Now
You can spend the next decade mixing two songs a day to get there. Or you can get Zen & the Art of MIXING 2021, and I'll explain the thinking behind great mixing. And then watch your confidence soar.
There's a reason why this is my most popular work, to date. Enjoy, Mixerman