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25 Recipes For Getting Started With R
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Book Synopsis 25 Recipes for Getting Started with R by : Paul Teetor
Download or read book 25 Recipes for Getting Started with R written by Paul Teetor and published by "O'Reilly Media, Inc.". This book was released on 2011-02-07 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression. You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.
Download or read book Cook This Book written by Molly Baz and published by Clarkson Potter. This book was released on 2021-04-20 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER • A thoroughly modern guide to becoming a better, faster, more creative cook, featuring fun, flavorful recipes anyone can make. ONE OF THE BEST COOKBOOKS OF THE YEAR: NPR, Food52, Taste of Home “Surprising no one, Molly has written a book as smart, stylish, and entertaining as she is.”—Carla Lalli Music, author of Where Cooking Begins If you seek out, celebrate, and obsess over good food but lack the skills and confidence necessary to make it at home, you’ve just won a ticket to a life filled with supreme deliciousness. Cook This Book is a new kind of foundational cookbook from Molly Baz, who’s here to teach you absolutely everything she knows and equip you with the tools to become a better, more efficient cook. Molly breaks the essentials of cooking down to clear and uncomplicated recipes that deliver big flavor with little effort and a side of education, including dishes like Pastrami Roast Chicken with Schmaltzy Onions and Dill, Chorizo and Chickpea Carbonara, and of course, her signature Cae Sal. But this is not your average cookbook. More than a collection of recipes, Cook This Book teaches you the invaluable superpower of improvisation though visually compelling lessons on such topics as the importance of salt and how to balance flavor, giving you all the tools necessary to make food taste great every time. Throughout, you’ll encounter dozens of QR codes, accessed through the camera app on your smartphone, that link to short technique-driven videos hosted by Molly to help illuminate some of the trickier skills. As Molly says, “Cooking is really fun, I swear. You simply need to set yourself up for success to truly enjoy it.” Cook This Book will help you do just that, inspiring a new generation to find joy in the kitchen and take pride in putting a home-cooked meal on the table, all with the unbridled fun and spirit that only Molly could inspire.
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
Download or read book R Cookbook written by JD Long and published by "O'Reilly Media, Inc.". This book was released on 2019-06-21 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data
Book Synopsis How to Cook Everything: The Basics by : Mark Bittman
Download or read book How to Cook Everything: The Basics written by Mark Bittman and published by HarperCollins. This book was released on 2013-03-07 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: The next best thing to having Mark Bittman in the kitchen with you Mark Bittman's highly acclaimed, bestselling book How to Cook Everything is an indispensable guide for any modern cook. With How to Cook Everything The Basics he reveals how truly easy it is to learn fundamental techniques and recipes. From dicing vegetables and roasting meat, to cooking building-block meals that include salads, soups, poultry, meats, fish, sides, and desserts, Bittman explains what every home cook, particularly novices, should know. 1,000 beautiful and instructive photographs throughout the book reveal key preparation details that make every dish inviting and accessible. With clear and straightforward directions, Bittman's practical tips and variation ideas, and visual cues that accompany each of the 185 recipes, cooking with How to Cook Everything The Basics is like having Bittman in the kitchen with you. This is the essential teaching cookbook, with 1,000 photos illustrating every technique and recipe; the result is a comprehensive reference that’s both visually stunning and utterly practical. Special Basics features scattered throughout simplify broad subjects with sections like “Think of Vegetables in Groups,” “How to Cook Any Grain,” and “5 Rules for Buying and Storing Seafood.” 600 demonstration photos each build on a step from the recipe to teach a core lesson, like “Cracking an Egg,” “Using Pasta Water,” “Recognizing Doneness,” and “Crimping the Pie Shut.” Detailed notes appear in blue type near selected images. Here Mark highlights what to look for during a particular step and offers handy advice and other helpful asides. Tips and variations let cooks hone their skills and be creative.
Download or read book R Cookbook written by Paul Teetor and published by "O'Reilly Media, Inc.". This book was released on 2011-03-03 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author
Book Synopsis R Data Visualization Cookbook by : Atmajitsinh Gohil
Download or read book R Data Visualization Cookbook written by Atmajitsinh Gohil and published by Packt Publishing Ltd. This book was released on 2015-01-29 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.
Book Synopsis R Graphics Cookbook by : Winston Chang
Download or read book R Graphics Cookbook written by Winston Chang and published by "O'Reilly Media, Inc.". This book was released on 2013 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Practical recipes for visualizing data"--Cover.
Download or read book Damn Delicious written by Rhee, Chungah and published by Time Inc. Books. This book was released on 2016-09-06 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The debut cookbook by the creator of the wildly popular blog Damn Delicious proves that quick and easy doesn't have to mean boring.Blogger Chungah Rhee has attracted millions of devoted fans with recipes that are undeniable 'keepers'-each one so simple, so easy, and so flavor-packed, that you reach for them busy night after busy night. In Damn Delicious, she shares exclusive new recipes as well as her most beloved dishes, all designed to bring fun and excitement into everyday cooking. From five-ingredient Mini Deep Dish Pizzas to no-fuss Sheet Pan Steak & Veggies and 20-minute Spaghetti Carbonara, the recipes will help even the most inexperienced cooks spend less time in the kitchen and more time around the table.Packed with quickie breakfasts, 30-minute skillet sprints, and speedy takeout copycats, this cookbook is guaranteed to inspire readers to whip up fast, healthy, homemade meals that are truly 'damn delicious!'
Book Synopsis Data Mashups in R by : Jeremy Leipzig
Download or read book Data Mashups in R written by Jeremy Leipzig and published by "O'Reilly Media, Inc.". This book was released on 2011-03-04 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll plot and analyze current home foreclosure auctions in Philadelphia. This practical mashup exercise shows you how to access spatial data in several formats locally and over the Web to produce a map of home foreclosures. It's an excellent way to explore how the R environment works with R packages and performs statistical analysis. Parse messy data from public foreclosure auction postings Plot the data using R's PBSmapping package Import US Census data to add context to foreclosure data Use R's lattice and latticeExtra packages for data visualization Create multidimensional correlation graphs with the pairs() scatterplot matrix package
Book Synopsis Quantitative Trading with R by : Harry Georgakopoulos
Download or read book Quantitative Trading with R written by Harry Georgakopoulos and published by Springer. This book was released on 2015-02-02 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code.
Book Synopsis Hands-On Machine Learning with R by : Brad Boehmke
Download or read book Hands-On Machine Learning with R written by Brad Boehmke and published by CRC Press. This book was released on 2019-11-07 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Book Synopsis Old-Fashioned Homemade Ice Cream by : Thomas R. Quinn
Download or read book Old-Fashioned Homemade Ice Cream written by Thomas R. Quinn and published by Courier Corporation. This book was released on 2012-03-08 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete instructions and helpful advice for making delicious homemade ice cream, either in a hand-cranked or electric freezer. Includes 58 mouthwatering ice cream recipes, plus recipes for toppings and sauces. Introduction. Illustrated throughout.
Book Synopsis Minimalist Baker's Everyday Cooking by : Dana Shultz
Download or read book Minimalist Baker's Everyday Cooking written by Dana Shultz and published by Penguin. This book was released on 2016-04-26 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: The highly anticipated cookbook from the immensely popular food blog Minimalist Baker, featuring 101 all-new simple, vegan recipes that all require 10 ingredients or less, 1 bowl or 1 pot, or 30 minutes or less to prepare Dana Shultz founded the Minimalist Baker blog in 2012 to share her passion for simple cooking and quickly gained a devoted worldwide following. Now, in this long-awaited debut cookbook, Dana shares 101 vibrant, simple recipes that are entirely plant-based, mostly gluten-free, and 100% delicious. Packed with gorgeous photography, this practical but inspiring cookbook includes: • Recipes that each require 10 ingredients or less, can be made in one bowl, or require 30 minutes or less to prepare. • Delicious options for hearty entrées, easy sides, nourishing breakfasts, and decadent desserts—all on the table in a snap • Essential plant-based pantry and equipment tips • Easy-to-follow, step-by-step recipes with standard and metric ingredient measurements Minimalist Baker’s Everyday Cooking is a totally no-fuss approach to cooking for anyone who loves delicious food that happens to be healthy too.
Download or read book The Boy Who Bakes written by Edd Kimber and published by . This book was released on 2011 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an inspirational guide to baking from the winner of 'The Great British Bake Off 2010'. From the traditional to new twists on old favourites there are recipes to suit all abilities. The book covers cakes, cookies, pastry, desserts, and even ice-creams.
Book Synopsis Using R for Introductory Statistics by : John Verzani
Download or read book Using R for Introductory Statistics written by John Verzani and published by CRC Press. This book was released on 2018-10-03 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Book Synopsis New Statistics for Design Researchers by : Martin Schmettow
Download or read book New Statistics for Design Researchers written by Martin Schmettow and published by Springer Nature. This book was released on 2021-07-13 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations. With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included. Using Bayesian linear models, multi-level models and generalized linear models, an extensive statistical framework is introduced, covering a huge variety of research situations and yet, building on only a handful of basic concepts. Unique solutions to recurring problems are presented, such as psychometric multi-level models, beta regression for rating scales and ExGaussian regression for response times. A “think-first” approach is promoted for model building, as much as the quantitative interpretation of results, stimulating readers to think about data generating processes, as well as rational decision making. New Statistics for Design Researchers: A Bayesian Workflow in Tidy R targets scientists, industrial researchers and students in a range of disciplines, such as Human Factors, Applied Psychology, Communication Science, Industrial Design, Computer Science and Social Robotics. Statistical concepts are introduced in a problem-oriented way and with minimal formalism. Included primers on R and Bayesian statistics provide entry point for all backgrounds. A dedicated chapter on model criticism and comparison is a valuable addition for the seasoned scientist.
