This study looks into how children learn about the 'first R'—race—and challenges the current assumptions with case-study examples from three child-care centers. Parents and teachers will find this remarkable study reveals that the answer to how children learn about race might be more startling than could be imagined.

Writers since Piaget have questioned when and how children assimilate racist attitudes - or simply become aware of racial differences. This book offers stirring evidence that the answers may be more surprising than we ever imagined. The rich accounts of children's behaviour around race are drawn from Van Ausdale's ethnographies, conducted in several multi-ethnic day-care centres. When she persistently divested herself of any authoritative role, children as young as three years gradually revealed to her a surprising array of racial attitudes, assumptions and behaviours - most of which they normally withhold from parents and adults. The careful ethnographic analysis, conducted over many months, lead the authors to question many long-held assumptions about the nature of race and racial learning in society. The stories of the children are compelling, often endearing and unforgettable. They will change the way parents, teachers and other educators understand the world as seen by children.

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

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

"The First R. Austin Freeman Megapack" collects 27 mystery tales featuring the forensic sleuth Dr. Thorndyke (and others). Included in this volume are: THE RED THUMB MARK (1907) THE MAN WITH THE NAILED SHOES (1909) THE STRANGER'S LATCHKEY (1909) THE ANTHROPOLOGIST AT LARGE (1909) THE BLUE SEQUIN (1909) THE MOABITE CIPHER (1909) THE MANDARIN'S PEARL (1909) THE ALUMINIUM DAGGER (1909) A MESSAGE FROM THE DEEP SEA (1909) THE EYE OF OSIRIS (1911) THE MYSTERY OF 31 NEW INN (1912) THE CASE OF OSCAR BRODSKI (1912) A CASE OF PREMEDITATION (1912) THE ECHO OF A MUTINY (1912) A WASTREL'S ROMANCE (1912) THE OLD LAG (1912) THE UTTERMOST FARTHING (1914) A SILENT WITNESS (1914) THE GREAT PORTRAIT MYSTERY (1918) THE BRONZE PARROT (1918) POWDER BLUE AND HAWTHORN (1918) THE ATTORNEY'S CONSCIENCE (1918) THE LUCK OF BARNABAS MUDGE (1918) THE MISSING MORTGAGEE (1918) PERCIVAL BLAND'S PROXY (1918) THE CASE OF THE WHITE FOOTPRINTS (1920) HELEN VARDON'S CONFESSION (1922) If you enjoy this volume, please search this ebook store for "Wildside Megapack" to see more entries in the series, collecting great tales of adventure, mystery, science fiction, westerns, ghost stories, and much more. (Sort by publication date to see the most recent additions.)

R is a statistical computer program used and developed by statisticians around the world. It is probably the leading statistical program, at least among statisticians, and it is freely available. A First Guide to Statistical Computations in R is intended for the newcomer who wants to do statistical analysis with R and needs a guide to get started. The book focuses on statistical data problems that are often encountered within the biosceinces. It puts special emphasis on linear models and analysis of repeated measurements data, but also deals with binary data and survival data, among others. Problems are presented and solutions - along with the corresponding OR code and output - are provided. The guide is divided into two parts: the first part on R basics and the second part on the statistical analyses using R. Various datasets are used for illustration and they are all available in the R package Guide1data.

A guide to managing your time by learning how to balance your life.