Moving From Ibm Spss To R And Rstudio
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Moving From Ibm Spss To R And Rstudio
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Author : Howard T. Tokunaga
language : en
Publisher: SAGE Publications
Release Date : 2021-02-12
Moving From Ibm Spss To R And Rstudio written by Howard T. Tokunaga and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-12 with Psychology categories.
Are you a researcher or instructor who has been wanting to learn R and RStudio®, but you don′t know where to begin? Do you want to be able to perform all the same functions you use in IBM® SPSS® in R? Is your license to IBM® SPSS® expiring, or are you looking to provide your students guidance to a freely-available statistical software program? Moving from IBM® SPSS® to R and RStudio®: A Statistics Companion is a concise and easy-to-read guide for users who want to know learn how to perform statistical calculations in R. Brief chapters start with a step-by-step introduction to R and RStudio, offering basic installation information and a summary of the differences. Subsequent chapters walk through differences between SPSS and R, in terms of data files, concepts, and structure. Detailed examples provide walk-throughs for different types of data conversions and transformations and their equivalent in R. Helpful and comprehensive appendices provide tables of each statistical transformation in R with its equivalent in SPSS and show what, if any, differences in assumptions factor to into each function. Statistical tests from t-tests to ANOVA through three-factor ANOVA and multiple regression and chi-square are covered in detail, showing each step in the process for both programs. By focusing just on R and eschewing detailed conversations about statistics, this brief guide gives adept SPSS® users just the information they need to transition their data analyses from SPSS to R.
Introduction To R In Ibm Spss Modeler
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Author : Wannes Rosius
language : en
Publisher: IBM Redbooks
Release Date : 2016-10-14
Introduction To R In Ibm Spss Modeler written by Wannes Rosius and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-14 with Computers categories.
This IBM RedpaperTM publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high level understanding of R integration within SPSS Modeler enabling you to create or recreate some very basic R models within SPSS Modeler, even if you have only a basic knowledge of R. Chapter 5 provides more detailed tips and tricks. This chapter is for the experienced user and consists of items that might help you get up to speed with more detailed functions of the integration and understand some pitfalls.
Discovering Statistics Using Ibm Spss Statistics
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Author : Andy Field
language : en
Publisher: SAGE Publications Limited
Release Date : 2024-02-22
Discovering Statistics Using Ibm Spss Statistics written by Andy Field and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-22 with Social Science categories.
With its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. Features: • Flexible coverage to support students across disciplines and degree programmes • Can support classroom or lab learning and assessment • Analysis of real data with opportunities to practice statistical skills • Highlights common misconceptions and errors • A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills • Covers the range of versions of IBM SPSS Statistics©. All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution′s virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment.
The Therapeutic Potential Of Transcranial Magnetic Stimulation In Addiction
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Author : Marco Diana
language : en
Publisher: Frontiers Media SA
Release Date : 2021-01-07
The Therapeutic Potential Of Transcranial Magnetic Stimulation In Addiction written by Marco Diana and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-07 with Science categories.
A Guide To R For Social And Behavioral Science Statistics
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Author : Brian Joseph Gillespie
language : en
Publisher: SAGE Publications
Release Date : 2020-02-07
A Guide To R For Social And Behavioral Science Statistics written by Brian Joseph Gillespie and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-07 with Social Science categories.
A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.
Transforming Healthcare With Big Data And Ai
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Author : Alex Liu
language : en
Publisher: IAP
Release Date : 2020-04-01
Transforming Healthcare With Big Data And Ai written by Alex Liu and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.
Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field. This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Multilevel Modeling
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Author : G. David Garson
language : en
Publisher: SAGE Publications
Release Date : 2019-07-31
Multilevel Modeling written by G. David Garson and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-31 with Education categories.
Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R & HLMTM provides a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences. Author G. David Garson’s step-by-step instructions for software walk readers through each package. The instructions for the different platforms allow students to get a running start using the package with which they are most familiar while the instructor can start teaching the concepts of multilevel modeling right away. Instructors will find this text serves as both a comprehensive resource for their students and a foundation for their teaching alike.
Data Science For Business With R
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Author : Jeffrey S. Saltz
language : en
Publisher: SAGE Publications
Release Date : 2021-02-14
Data Science For Business With R written by Jeffrey S. Saltz and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-14 with Business & Economics categories.
Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field.
Bibliometric And Peer Review Methodology For Medical Research
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Author : Aslam, Muhammad Shahzad
language : en
Publisher: IGI Global
Release Date : 2024-12-19
Bibliometric And Peer Review Methodology For Medical Research written by Aslam, Muhammad Shahzad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Medical categories.
Advancing bibliometric and peer review methodologies is critical for ensuring the integrity, transparency, and effectiveness of medical research. As research output grows, robust bibliometric tools and ethical peer review processes are essential for evaluating the quality and impact of scientific studies. Addressing challenges such as metric consistency, ethical use of AI, and combating academic dishonesty fosters a more reliable and equitable academic environment. These efforts not only uphold the standards of medical research but also enhance public trust and ensure that advancements in healthcare are built on a foundation of rigor and fairness. Bibliometric and Peer Review Methodology for Medical Research examines advanced bibliometric and peer review methodologies, addressing critical challenges in evaluating and maintaining the quality of medical research. It provides a comprehensive framework for improving the integrity and reliability of research evaluation processes in the medical field. Covering topics such as access policies, meta-bibliometric analysis, and technological innovation, this book is an excellent resource for researchers, scholars, graduate and postgraduate students, publishers, journal editors, academic administrators, policymakers, information scientists, librarians, AI and blockchain developers, and more.
R For Dummies
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Author : Andrie de Vries
language : en
Publisher: John Wiley & Sons
Release Date : 2012-06-06
R For Dummies written by Andrie de Vries and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-06 with Computers categories.
Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you