Download or read book Step Up to R written by Leslie Sparkuhl and published by . This book was released on 2012 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Step Up to USMLE Step 2 CK written by Latha Ganti and published by Lippincott Williams & Wilkins. This book was released on 2019-07-11 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now includes Step 2 practice Questions and Answers, with explanations, for each chapter! Current, concise, and easy to use, the updated fifth edition of Step-Up to USMLE Step 2 CK makes essential information engaging and retainable, delivering the perfect exam prep for today’s busy medical student. Access just what you need to ace the USMLE Step 2 CK and make a confident transition to clinical practice with this high-yield, system-based review. This updated fifth edition of Step-Up to USMLE Step 2 CK helps you quickly memorize essential information and gives you the realistic test-taking practice to succeed. Full-color illustrations, “Quick Hits,” and mnemonics clarify must-know information on causes, risk factors, history and physical exam, lab studies and radiology, treatment, and complications for the most common diseases and disorders. USMLE-style study questions for each chapter mimic those found on the Step 2 exams, accompanied by complete explanations for maximum comprehension and test preparation.
Download or read book Step up to Emergency Medicine written by Martin Huecker and published by LWW. This book was released on 2015-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important addition to the popular Step-Up series, Step-Up to Emergency Medicine uses the proven series format to provide a high-yield review of emergency medicine, ideal for preparing for clerkships/clinical rotations, end of rotation/shelf exams, and the USMLE Step 2. Clinical pearls, full-color illustrations, and "Quick Hits" provide essential information in an efficient, easy-to-remember manner, perfect for medical, physician assistant, and nurse practitioner students. Step-Up to Emergency Medicine delivers exactly what you need to know--both for exam preparation and for practical use in the evaluation and treatment of patients in the emergency department. Succinct, outline approach focuses on the core content you need to know. "Quick Hits" in the margins highlight highly testable topics. Clinical pearls help you identify clinical connections for handy retrieval at test time, and aid in the transition from basic science to clinical medicine. More than 100 full-color photographs and line drawings illustrate key concepts throughout. Easy-to-follow algorithms show examples of effective clinical reasoning, particularly for similar complaints. Numerous charts, tables, graphs, and mnemonics facilitate easy retention of essential material. 100 online questions with complete rationale for correct and incorrect answers, help prepare you for exams and clinical practice. Coverage includes every essential area of emergency medicine, including psychiatric, pediatric, and environmental emergencies; trauma, wounds, toxicology, and medicolegal considerations-as well as must-know information on relevant pathophysiology, clinical features, differential diagnoses, patient evaluation, therapy, and more.
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.
Download or read book Step up to Family Medicine written by Robert Ellis and published by LWW. This book was released on 2017-12-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This high-yield review book gives you exactly the help you need to succeed on your family medicine clerkship, the NBME Family Medicine Shelf Exam, and the ambulatory component of the USMLE Step 2 CK.
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 Step Up to the TOEFL IBT for Intermediate Students written by Nigel A. Caplan and published by . This book was released on 2009 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step Up to the TOEFL®iBTis a skills-based textbook designed to address the needs of students who have not yet reached a language level to successfully prepare for the TOEFL® iBT. This volume does what no other textbook does: it helps intermediate-level students take a “step up” toward preparing themselves for the iBT by teaching and developing some of the grammar, vocabulary, and pronunciation skills necessary to do well on the test. Each of the eight units inStep Upaddresses one rhetorical function (ranging from chronology and sequences to developing ideas and paraphrasing) and includes: twoGrammar You Can Usetopics that strengthen students' receptive and productive language threeVocabulary You Needsections highlighting common language functions seen on the iBT twoSpeaking Clearlysections that focus on improving comprehensibility and fluent delivery skill-building exercises that practice a language point through high-interest reading, writing, listening, and speaking activities iBT practice exercises that focus on a language point in ways similar to those on the actual test (including the integrated speaking and writing tasks) but at this intermediate-level of competency Step Up Noteswith useful hints and tips about improving performance on the iBT
Download or read book Linear Mixed Effects Models Using R written by Andrzej Gałecki and published by Springer Science & Business Media. This book was released on 2013-02-05 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for the models by applied researchers in those and other fields by providing state-of-the-art descriptions of the implementation of LMMs in R. To help readers to get familiar with the features of the models and the details of carrying them out in R, the book includes a review of the most important theoretical concepts of the models. The presentation connects theory, software and applications. It is built up incrementally, starting with a summary of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs. A similar step-by-step approach is used to describe the R tools for LMMs. All the classes of linear models presented in the book are illustrated using real-life data. The book also introduces several novel R tools for LMMs, including new class of variance-covariance structure for random-effects, methods for influence diagnostics and for power calculations. They are included into an R package that should assist the readers in applying these and other methods presented in this text.
Download or read book Introduction to Deep Learning Using R written by Taweh Beysolow II and published by Apress. This book was released on 2017-07-19 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools. What You'll Learn Understand the intuition and mathematics that power deep learning models Utilize various algorithms using the R programming language and its packages Use best practices for experimental design and variable selection Practice the methodology to approach and effectively solve problems as a data scientist Evaluate the effectiveness of algorithmic solutions and enhance their predictive power Who This Book Is For Students, researchers, and data scientists who are familiar with programming using R. This book also is also of use for those who wish to learn how to appropriately deploy these algorithms in applications where they would be most useful.
Download or read book Doing Meta Analysis with R written by Mathias Harrer and published by CRC Press. This book was released on 2021-09-15 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book
Download or read book Step Up to Medicine written by Steven S. Agabegi and published by . This book was released on 2015-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Twelve Hours Sleep by Twelve Weeks Old written by Suzy Giordano and published by Penguin. This book was released on 2006-01-19 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is no bigger issue for healthy infants than sleeping through the night. In this simple, straightforward book, Suzy Giordano presents her amazingly effective “Limited-Crying Solution” that will get any baby to sleep for twelve hours at night—and three hours in the day—by the age of twelve weeks old. Giordano is the mother of five children and one of the most sought-after baby sleep specialists in the country. The Washington Post calls her a baby sleep "guru" and "an underground legend in the Washington area for her ability to teach newborns how to achieve that parenting nirvana: sleeping through the night." Her sleep plan has been tested with singletons, twins, triplets, babies with special needs, and colicky babies—and it has never failed. Whether you are pregnant, first-time parents, or parents who seek a different path with your second or third child, anyone can benefit from the Baby Coach’s popular system of regular feeding times, twelve hours of sleep at night and three hours of sleep during the day, and the peace of mind that comes with taking the parent and child out of a sleep- deprived world.
Download or read book Learning R written by Richard Cotton and published by "O'Reilly Media, Inc.". This book was released on 2013-09-09 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code
Download or read book One Step Closer written by Jeff Blue and published by Permuted Press. This book was released on 2020-12-08 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the unique perspective of the executive who discovered them, One Step Closer reveals how Brad Delson’s college internship was a catalyst for a group of young musical visionaries, led by Mike Shinoda, which gave rise to a band that survived countless rejections, exceeded everyone’s expectations but their own, and became the voice of a generation. This against-all-odds story chronicles the early days of Linkin Park, from their first demo and Whisky a Go Go performance as Xero, through their tireless efforts to perfect their iconic sound and the discovery of Chester Bennington. Jeff Blue was there when no one else believed—first as their publisher, then as their A&R guy. This is his memoir of that incredible journey. Riveting and inspiring, One Step Closer is a testament to perseverance, as well as a detailed behind-the-scenes account of the building of a dream and what it takes to make it.
Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book I Can Say the R Sound written by Meredith Avren and published by Avren Books. This book was released on 2017-06-06 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to help with that tricky R sound, this workbook is a MUST HAVE for every speech-language pathologist! Professional illustrations teach students the anatomy of the mouth and detailed step-by-step visuals guide the clinician and student through a variety of techniques to elicit accurate productions. Activities are included for practice in isolation, syllables, words, sentences, and oral reading. Please email any questions to [email protected]
Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
