Basic Statistics with R Book

Basic Statistics with R


  • Author : Stephen C. Loftus
  • Publisher : Academic Press
  • Release Date : 2021-02-20
  • Genre: Mathematics
  • Pages : 304
  • ISBN 10 : 9780128209264
  • Total Read : 68
  • File Size : 19,8 Mb

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Basic Statistics with R Summary:

Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area. In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, create graphs and do statistical inference using R with either Windows or Macintosh machines. Features real-data to give students an engaging practice to connect with their areas of interest Evolves from basic problems that can be worked by hand to the elementary use of opensource R software Offers a direct, clear approach highlighted by useful visuals and examples

Using R for Introductory Statistics Book

Using R for Introductory Statistics


  • Author : John Verzani
  • Publisher : CRC Press
  • Release Date : 2018-10-03
  • Genre: Computers
  • Pages : 518
  • ISBN 10 : 9781315362670
  • Total Read : 91
  • File Size : 13,5 Mb

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Using R for Introductory Statistics Summary:

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

Introductory Statistics with R Book
Score: 4
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Introductory Statistics with R


  • Author : Peter Dalgaard
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-06-27
  • Genre: Mathematics
  • Pages : 364
  • ISBN 10 : 9780387790541
  • Total Read : 88
  • File Size : 18,6 Mb

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Introductory Statistics with R Summary:

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.

Learning Statistics with R Book

Learning Statistics with R


  • Author : Daniel Navarro
  • Publisher : Lulu.com
  • Release Date : 2013-01-13
  • Genre: Psychology
  • Pages : 617
  • ISBN 10 : 9781326189723
  • Total Read : 71
  • File Size : 14,6 Mb

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Learning Statistics with R Summary:

"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

Basic Statistics Book

Basic Statistics


  • Author : Tenko Raykov
  • Publisher : Rowman & Littlefield
  • Release Date : 2013
  • Genre: Mathematics
  • Pages : 345
  • ISBN 10 : 9781442218468
  • Total Read : 99
  • File Size : 18,7 Mb

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Basic Statistics Summary:

Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This concise book: -Teaches essential concepts in statistics, assuming little background knowledge on the part of the reader -Introduces students to R with as few sub-commands as possible for ease of use -Provides practical examples from the educational, behavioral, and social sciences With clear explanations of statistical processes and step-by-step commands in R, Basic Statistics will appeal to students and professionals across the social and behavioral sciences.

Modern Statistics with R Book

Modern Statistics with R


  • Author : Måns Thulin
  • Publisher : BoD - Books on Demand
  • Release Date : 2021-07-28
  • Genre: Mathematics
  • Pages : 598
  • ISBN 10 : 9789152701515
  • Total Read : 95
  • File Size : 14,9 Mb

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Modern Statistics with R Summary:

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you: - Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. - Exploratory data analysis - using visualisation and multivariate techniques to explore datasets. - Statistical inference - modern methods for testing hypotheses and computing confidence intervals. - Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. - Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. - Ethics in statistics - ethical issues and good statistical practice. - R programming - writing code that is fast, readable, and free from bugs. Starting from the very basics, Modern Statistics with R helps you learn R by working with R. Topics covered range from plotting data and writing simple R code to using cross-validation for evaluating complex predictive models and using simulation for sample size determination. The book includes more than 200 exercises with fully worked solutions. Some familiarity with basic statistical concepts, such as linear regression, is assumed. No previous programming experience is needed.

The Book of R Book

The Book of R


  • Author : Tilman M. Davies
  • Publisher : No Starch Press
  • Release Date : 2016-07-16
  • Genre: Computers
  • Pages : 832
  • ISBN 10 : 9781593277796
  • Total Read : 65
  • File Size : 18,9 Mb

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The Book of R Summary:

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.

Biostatistics with R Book

Biostatistics with R


  • Author : Babak Shahbaba
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-12-15
  • Genre: Medical
  • Pages : 352
  • ISBN 10 : 9781461413028
  • Total Read : 59
  • File Size : 7,6 Mb

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Biostatistics with R Summary:

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.