Statistics And Data Analysis Using The R Programming Language

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Statistics And Data Analysis Using The R Programming Language

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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-27

Statistics And Data Analysis Using The R Programming Language written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-27 with Science categories.

**Statistics and Data Analysis Using the R Programming Language** is a comprehensive guide to statistics and data analysis using the R programming language, designed for students, researchers, and practitioners who seek to harness the power of R for statistical computing and data exploration. Whether you're a beginner or an experienced user, this book provides a solid foundation in R and equips you with the skills to tackle a wide range of statistical problems. With its clear and accessible explanations, numerous examples, and case studies, this book is an invaluable resource for anyone looking to master the art of data analysis using R. In this book, you will discover: * The fundamentals of R, including its installation, setup, and basic syntax. * How to manipulate and prepare data for analysis, including importing, cleaning, and reshaping data. * Exploratory data analysis techniques to gain insights into your data and identify patterns and trends. * The concepts of probability and distributions, including the normal distribution, binomial distribution, and Poisson distribution. * Statistical inference methods such as point estimation, confidence intervals, and hypothesis testing. * Machine learning algorithms for both supervised and unsupervised learning, including linear regression, decision trees, and k-means clustering. * Time series analysis techniques to analyze data collected over time and make predictions. * Spatial statistics methods to analyze data with a geographical component and identify spatial patterns. * Advanced topics in statistics, including Bayesian statistics, resampling methods, multivariate analysis, and big data analytics. Throughout the book, you will find clear and concise explanations, step-by-step instructions, and real-world examples to help you understand and apply statistical methods effectively. Whether you're working with small or large datasets, this book will provide you with the knowledge and skills you need to extract meaningful insights from your data. With its comprehensive coverage of statistical methods and its focus on practical application, **Statistics and Data Analysis Using the R Programming Language** is the ultimate resource for anyone looking to master the art of statistics and data analysis using R. If you like this book, write a review on google books!

Beginner S Guide For Data Analysis Using R Programming

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Author : Jeeva Jose
language : en
Publisher: KHANNA PUBLISHING HOUSE
Release Date :

Beginner S Guide For Data Analysis Using R Programming written by Jeeva Jose and has been published by KHANNA PUBLISHING HOUSE this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

R programming is an efficient tool for statistical analysis of data. Data science has become critical to each field and the popularity of R is skyrocketing. Organization as large and diverse as Google, Facebook, Microsoft, Bank of America, Ford Motor Company, Mozilla, Thomas Cook, The New York Times, The National Weather Service, Twitter, ANZ Bank, Uber, Airbnb etc . have turned to R for reporting, analyzing and visualization of data, this book is for students and professionals of Mathematics, Statistics, Physics, Chemistry, Biology, Social Science and Medicine, Business, Engineering, Software, Information Technology, Sales, Bio Informatics, Pharmacy and any one, where data needs to be analyzed and represented graphically.

Data Analysis In Medicine And Health Using R

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Author : Kamarul Imran Musa
language : en
Publisher: CRC Press
Release Date : 2023-09-12

Data Analysis In Medicine And Health Using R written by Kamarul Imran Musa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-12 with Medical categories.

Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare. In today's era, researchers in these domains require a firm grasp of data, statistical concepts, and programming skills due to the increasing complexity of data. Reproducible analyses and cutting-edge statistical methods are becoming increasingly necessary. This book, which is both comprehensive and highly practical, addresses these challenges by laying a solid foundation of data and statistical theory for readers. Subsequently, it equips them with practical skills to conduct analyses using the powerful R programming language, widely used by statisticians. The book takes a gentle approach to help readers navigate data and statistical analysis using R, minimizing the learning curve. RStudio is used as the integrated development environment (IDE) for enhanced productivity for readers to run their R codes. Following a logical sequence commonly applied in medical and health research, the book covers fundamental concepts of data analysis and statistical modeling techniques. It provides readers, including those with limited statistical knowledge and programming skills, with hands-on experience through R programming. The online version of this book is available on bookdown.org, a publishing platform provided by RStudio, PBC specifically designed to host books written using the "bookdown" package in R. Additionally, all R codes and datasets in this book can be found on the author's GitHub repository.

Exploratory Data Analysis Using R

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Author : Ronald K. Pearson
language : en
Publisher: CRC Press
Release Date : 2018-05-04

Exploratory Data Analysis Using R written by Ronald K. Pearson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-04 with Business & Economics categories.

Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data. The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available. About the Author: Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network).

Statistical Analysis With R For Dummies

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Author : Joseph Schmuller
language : en
Publisher: John Wiley & Sons
Release Date : 2025-05-20

Statistical Analysis With R For Dummies written by Joseph Schmuller 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 2025-05-20 with Computers categories.

Simplify stats and learn how to graph, analyze, and interpret data the easy way Statistical Analysis with R For Dummies makes stats approachable by combining clear explanations with practical applications. You'll learn how to download and use R and RStudio—two free, open-source tools—to learn statistics concepts, create graphs, test hypotheses, and draw meaningful conclusions. Get started by learning the basics of statistics and R, calculate descriptive statistics, and use inferential statistics to test hypotheses. Then, visualize it all with graphs and charts. This Dummies guide is your well-marked path to sailing through statistics. Get clear explanations of the basics of statistics and data analysis Learn how to analyze and visualize data with R, step by step Create charts, graphs, and summaries to interpret results Explore hypothesis testing, and prediction techniques This is the perfect introduction to R for students, professionals, and the stat-curious.

Basic Business Analytics Using R

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Author : Dr. Mahavir M. Shetiya
language : en
Publisher: Thakur Publication Private Limited
Release Date : 2023-11-10

Basic Business Analytics Using R written by Dr. Mahavir M. Shetiya and has been published by Thakur Publication Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-10 with Education categories.

Buy BASIC BUSINESS ANALYTICS USING R e-Book for Mba 2nd Semester in English language specially designed for SPPU ( Savitribai Phule Pune University ,Maharashtra) By Thakur publication.

Biostatistics For Epidemiology And Public Health Using R

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Author : Bertram K.C. Chan
language : en
Publisher: Springer Publishing Company
Release Date : 2015-11-05

Biostatistics For Epidemiology And Public Health Using R written by Bertram K.C. Chan and has been published by Springer Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-05 with Medical categories.

Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. In addition to being freely available, R offers several advantages for biostatistics, including strong graphics capabilities, the ability to write customized functions, and its extensibility. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-bystep approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems and exercises drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. This text is supplemented with teaching resources, including an online guide for students in solving exercises and an instructor's manual. KEY FEATURES: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples and exercises to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes online student solutions guide and instructor's manual

Understanding Applying Basic Statistical Methods Using R

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Author : Morgan Holland &
language : en
Publisher: Scientific e-Resources
Release Date : 2019-07-04

Understanding Applying Basic Statistical Methods Using R written by Morgan Holland & and has been published by Scientific e-Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-04 with categories.

Understanding and Applying Basic Statistical Methods Using R remarkably conquers any hindrance between propels in the measurable writing and methods routinely utilized by non-analysts. Giving a theoretical premise to understanding the relative benefits and uses of these methods, the book highlights current bits of knowledge and advances applicable to fundamental systems regarding managing non-ordinariness, exceptions, heteroscedasticity (unequal changes), and curvature. Including a manual for R, the book utilizes R programming to investigate starting factual ideas and standard methods for managing known issues related with exemplary procedures. Altogether classroom tried, the book incorporates segments that attention on either R programming or computational points of interest to enable the reader to wind up noticeably familiar with fundamental ideas and standards basic regarding understanding and applying the numerous methods as of now accessible.

A Handbook Of Statistical Analyses Using R

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Author : Torsten Hothorn
language : en
Publisher: CRC Press
Release Date : 2006-02-17

A Handbook Of Statistical Analyses Using R written by Torsten Hothorn and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-17 with Mathematics categories.

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-P

Introduction To Statistical Computing And Visualization Using R

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Author : Megha Rathi
language : en
Publisher: CRC Press
Release Date : 2025-05-01

Introduction To Statistical Computing And Visualization Using R written by Megha Rathi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Computers categories.

The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R. Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readers Provides complete code solutions to every problem presented, including detailed answers to even the most complex questions Presents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contexts Offers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketing Focuses on best practices and efficient coding techniques, improving productivity and maintainability of R code