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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.
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.
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
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
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.
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
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
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.
"Practical recipes for visualizing data"--Cover.
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