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The R Student Companion
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Book Synopsis The R Student Companion by : Brian Dennis
Download or read book The R Student Companion written by Brian Dennis and published by CRC Press. This book was released on 2016-04-19 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This student-oriented manual describes how to use R in college science and mathematics courses. The manual features fully developed exercises based around the main precalculus analysis skills needed in the standard college general education courses in science and math. The exercises illustrate a wide variety of applications and subjects. The author presents applications drawn from all sciences and social sciences and includes the most often used features of R on a reference card in the back of the book. In addition, each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups.
Book Synopsis The Student Companion to Community-Engaged Learning by : David M. Donahue
Download or read book The Student Companion to Community-Engaged Learning written by David M. Donahue and published by Taylor & Francis. This book was released on 2023-07-03 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compact, accessibly written text prepares students for their experience of community-based learning. It is designed for students to read and reflect on independently or to foster discussion in class on their motivations and dispositions toward community engagement and service learning. It prepares students to work with diverse individuals, groups, and organizations that may be outside their prior experience. Faculty can use the book as a tool to deepen the educational experience of the course and enrich community engagement. This text is a guide to what’s involved in community-engaged learning, from understanding the pervasiveness of social, economic and environmental problems, to learning about how individuals and organizations in communities work to overcome them. Students will discover through a process of reflection how service connects to personal development and the content of their courses, builds their ability to engage with people different from themselves, and develops new life skills, all in the context of working with communities to overcome systemic injustice.Critical questions woven into each chapter prompt students to reflect on ideas and perspectives about social justice, community development, and their role in fostering them.The book concludes with case studies of students who have experienced the transformative power of community-engaged learning. The stories illustrate common themes inherent in the student experience, including listening to understand, challenging stereotypes, learning the nature of their role, and seeing the world through a new lens.A special feature of this book is the embedded QR codes that provide access, as students read the text, to online resources, and original and public videos that explore particular themes or perspectives more deeply. The authors also include text directed to faculty to provide ideas about framing their community-engaged course and integrating the book.
Book Synopsis A Mathematics Companion for Science and Engineering Students by : Jerome R. Breitenbach
Download or read book A Mathematics Companion for Science and Engineering Students written by Jerome R. Breitenbach and published by Oxford University Press. This book was released on 2008 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for undergraduate students, A Mathematics Companion for Science and Engineering Students provides a valuable reference for a wide variety of topics in precalculus mathematics. The presentation is precise, accurate, and complete, with helpful comments throughout.
Book Synopsis R Companion to Elementary Applied Statistics by : Christopher Hay-Jahans
Download or read book R Companion to Elementary Applied Statistics written by Christopher Hay-Jahans and published by CRC Press. This book was released on 2019-01-02 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and computations with R, readers are then guided through ways to bring data into R, manipulate the data as needed, perform common statistical computations and elementary exploratory data analysis tasks, prepare customized graphics, and take advantage of R for a wide range of methods that find use in many elementary applications of statistics. Features: Requires no familiarity with R or programming to begin using this book. Can be used as a resource for a project-based elementary applied statistics course, or for researchers and professionals who wish to delve more deeply into R. Contains an extensive array of examples that illustrate ideas on various ways to use pre-packaged routines, as well as on developing individualized code. Presents quite a few methods that may be considered non-traditional, or advanced. Includes accompanying carefully documented script files that contain code for all examples presented, and more. R is a powerful and free product that is gaining popularity across the scientific community in both the professional and academic arenas. Statistical methods discussed in this book are used to introduce the fundamentals of using R functions and provide ideas for developing further skills in writing R code. These ideas are illustrated through an extensive collection of examples. About the Author: Christopher Hay-Jahans received his Doctor of Arts in mathematics from Idaho State University in 1999. After spending three years at University of South Dakota, he moved to Juneau, Alaska, in 2002 where he has taught a wide range of undergraduate courses at University of Alaska Southeast.
Book Synopsis Student Companion to Nathaniel Hawthorne by : Melissa McFarland Pennell
Download or read book Student Companion to Nathaniel Hawthorne written by Melissa McFarland Pennell and published by Greenwood. This book was released on 1999-08-30 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features a biographical chapter that relates Hawthorne's life to his work, a chapter on his career and contributions to American literature, and chapters that analyze his most important short stories and novels in turn.
Book Synopsis Quantitative Psychological Research: The Complete Student's Companion,, 3rd Edition by : David Clark-Carter
Download or read book Quantitative Psychological Research: The Complete Student's Companion,, 3rd Edition written by David Clark-Carter and published by Psychology Press. This book was released on 2009-09-16 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book expertly guides the reader through all stages involved in undertaking quantitative psychological research, from accessing the relevant literature, through designing and conducting a study, analysing and interpreting data, and finally reporting the research. This third edition includes two new chapters - on preliminary checking of data and allowing for additional variables when comparing the means of different conditions - and expands on original topics such as choosing sample sizes and how to test for mediation effects. It also contains increased coverage of tests and further detail of techniques and terms which psychologists will meet when working with those in the medical professions. As the chapters focus on choosing appropriate statistical tests and how to interpret and report them (rather than the detailed calculations, which appear in appendices), the reader is able to gain an understanding of a test without being interrupted by the need to understand the complex mathematics behind it. In addition, for the first time, the book is accompanied by an online bank of multiple choice questions. The book helps readers to: Locate reports of relevant existing research Design research while adhering to ethical principles Identify various methods which can be used to ask questions or observe behaviour Choose appropriate samples Display and analyse findings numerically and graphically to test hypotheses Report psychological research in a variety of ways. As such, the book is suitable for psychology students and professionals at all levels, and is particularly useful to those working in Health and Clinical Psychology.
Book Synopsis Project-Based R Companion to Introductory Statistics by : Chelsea Myers
Download or read book Project-Based R Companion to Introductory Statistics written by Chelsea Myers and published by Chapman & Hall/CRC. This book was released on 2020-12-22 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project-Based R Companion to Introductory Statistics is envisioned as a companion to a traditional statistics or biostatistics textbook, with each chapter covering traditional topics such as descriptive statistics, regression, and hypothesis testing. However, unlike a traditional textbook, each chapter will present its material using a complete step-by-step analysis of a real publicly available dataset, with an emphasis on the practical skills of testing assumptions, data exploration, and forming conclusions. The chapters in the main body of the book include a worked example showing the R code used at each step followed by a multi-part project for students to complete. These projects, which could serve as alternatives to traditional discrete homework problems, will illustrate how to "put the pieces together" and conduct a complete start-to-finish data analysis using the R statistical software package. At the end of the book, there are several projects that require the use of multiple statistical techniques that could be used as a take-home final exam or final project for a class. Key features of the text: Organized in chapters focusing on the same topics found in typical introductory statistics textbooks (descriptive statistics, regression, two-way tables, hypothesis testing for means and proportions, etc.) so instructors can easily pair this supplementary material with course plans Includes student projects for each chapter which can be assigned as laboratory exercises or homework assignments to supplement traditional homework Features real-world datasets from scientific publications in the fields of history, pop culture, business, medicine, and forensics for students to analyze Allows students to gain experience working through a variety of statistical analyses from start to finish The book is written at the undergraduate level to be used in an introductory statistical methods course or subject-specific research methods course such as biostatistics or research methods for psychology or business analytics. Author After a 10-year career as a research biostatistician in the Department of Ophthalmology and Visual Sciences at the University of Wisconsin-Madison, Chelsea Myers teaches statistics and biostatistics at Rollins College and Valencia College in Central Florida. She has authored or co-authored more than 30 scientific papers and presentations and is the creator of the MCAT preparation website MCATMath.com.
Book Synopsis The College Student's Research Companion by : Arlene Rodda Quaratiello
Download or read book The College Student's Research Companion written by Arlene Rodda Quaratiello and published by Neal Schuman Pub. This book was released on 2011 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a guide to using the library for the purpose of conducting research, using both traditional and online resources. Students will learn to select a topic, effectively find and evaluate the best information in both print and electronic formats, and produce accurate and complete citations based on current versions of important styles guides and web resources. Each chapter includes exercises that reinforce the instruction and guidance.
Book Synopsis Learning Statistics with R by : Daniel Navarro
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Download or read book The R Book written by Michael J. Crawley and published by John Wiley & Sons. This book was released on 2007-06-13 with total page 953 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis An R Companion to Political Analysis by : Philip H. Pollock III
Download or read book An R Companion to Political Analysis written by Philip H. Pollock III and published by CQ Press. This book was released on 2017-04-12 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teach your students to conduct political research using R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. The all-new Second Edition includes new and revised exercises and datasets showing students how to analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is accompanied by annotated and labeled screen shots and end-of-chapter exercises to help students apply what they have learned. "Students will love this book, as will their teachers." – Courtney Brown, Emory University
Book Synopsis The Students' Companion by : Wilfred D. Best
Download or read book The Students' Companion written by Wilfred D. Best and published by . This book was released on 1983 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Patterns for College Writing by : Laurie G. Kirszner
Download or read book Patterns for College Writing written by Laurie G. Kirszner and published by Macmillan. This book was released on 2011-12-22 with total page 837 pages. Available in PDF, EPUB and Kindle. Book excerpt: Laurie Kirszner and Stephen Mandell, authors with nearly thirty years of experience teaching college writing, know what works in the classroom and have a knack for picking just the right readings. In Patterns for College Writing, they provide students with exemplary rhetorical models and instructors with class-tested selections that balance classic and contemporary essays. Along with more examples of student writing than any other reader, Patterns has the most comprehensive coverage of active reading, research, and the writing process, with a five-chapter mini-rhetoric; the clearest explanations of the patterns of development; and the most thorough apparatus of any rhetorical reader, all reasons why Patterns for College Writing is the best-selling reader in the country. And the new edition includes exciting new readings and expanded coverage of critical reading, working with sources, and research. It is now available as an interactive Bedford e-book and in a variety of other e-book formats that can be downloaded to a computer, tablet, or e-reader. Read the preface.
Book Synopsis Discovering Statistics Using R by : Andy Field
Download or read book Discovering Statistics Using R written by Andy Field and published by SAGE. This book was released on 2012-03-07 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field′s books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you′re doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect. Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Given this book′s accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.
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
Book Synopsis The R Student Companion by : Brian Dennis
Download or read book The R Student Companion written by Brian Dennis and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Big R-Book by : Philippe J. S. De Brouwer
Download or read book The Big R-Book written by Philippe J. S. De Brouwer and published by John Wiley & Sons. This book was released on 2020-10-27 with total page 928 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business users Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting Uses a practical tone and integrates multiple topics in a coherent framework Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R Shows readers how to visualize results in static and interactive reports Supplementary materials includes PDF slides based on the book’s content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.
