This collection is a resource book for those working with language disordered clients in a range of languages. It collects together versions of the well-known Language Assessment Remediation Screening Procedure (LARSP) prepared for different languages. Starting with the original version for English, the book then presents versions in more than a dozen other languages. Some of these are likely to be encountered as home languages of clients by speech-language therapists and pathologists working in the UK, Ireland, the US and Australia and New Zealand. Others are included because they are major languages found where speech-language pathology services are provided, but where no grammatical profile already exists.

This book teaches the most common ESL grammar points in an accessible way through real ESL errors together with suggested teaching techniques. Relevant grammar terminology is explained. The four objectives of this book are to help teachers: (1) identify common ESL grammar points and understand the details associated with each one; (2) improve their ability to answer any grammar question on the spot (when on the "hot seat"); (3) anticipate common ESL errors by grammar point, by first language, and/or by proficiency level; and (4) develop more effective grammar/language learning lessons. These objectives are for all teachers, whether they are teaching grammar directly or indirectly in a variety of classes -- including a grammar class, a writing class, a speaking class, an ESP class, or a K-12 class.

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.

This reference discusses how automata and language theory can be used to understand solutions to solving equations in groups and word problems in groups. Examples presented include, how Fine scale complexity theory has entered group theory via these connections and how cellular automata, has been generalized into a group theoretic setting. Chapters written by experts in group theory and computer science explain these connections.