Basic Statistics with R

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

Produk Detail:

  • Author : Stephen C. Loftus
  • Publisher : Academic Press
  • Pages : 304 pages
  • ISBN : 0128209267
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBasic Statistics with R

Basic Statistics with R

Basic Statistics with R
  • Author : Stephen C. Loftus
  • Publisher : Academic Press
  • Release : 12 March 2021
GET THIS BOOKBasic Statistics with R

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

Basic Statistics With R

Basic Statistics With R
  • Author : Stephen C. Loftus
  • Publisher : Academic Press
  • Release : 15 July 2021
GET THIS BOOKBasic Statistics With R

Basic Statistics with R: Reaching Decisions with Data, First Edition, provides readers with an understanding of the processes at work in using data for results. The work begins with data collection and discusses exploratory analyses - including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All of these topics are taught using real data drawn from various topics including economics, biology, political science, and sports. Using this

Introductory Statistics with R

Introductory Statistics with R
  • Author : Peter Dalgaard
  • Publisher : Springer Science & Business Media
  • Release : 27 June 2008
GET THIS BOOKIntroductory Statistics with R

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

Using R for Introductory Statistics, Second Edition

Using R for Introductory Statistics, Second Edition
  • Author : John Verzani
  • Publisher : CRC Press
  • Release : 26 June 2014
GET THIS BOOKUsing R for Introductory Statistics, Second Edition

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

Introductory Statistics with R

Introductory Statistics with R
  • Author : Peter Dalgaard
  • Publisher : Springer Science & Business Media
  • Release : 15 August 2008
GET THIS BOOKIntroductory Statistics with R

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

Introduction to Data Science

Introduction to Data Science
  • Author : Rafael A. Irizarry
  • Publisher : CRC Press
  • Release : 20 November 2019
GET THIS BOOKIntroduction to Data Science

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data

Basic Statistics

Basic Statistics
  • Author : Tenko Raykov,George A. Marcoulides
  • Publisher : Rowman & Littlefield
  • Release : 01 August 2021
GET THIS BOOKBasic Statistics

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

The New Statistics with R

The New Statistics with R
  • Author : Andy Hector
  • Publisher : Oxford University Press
  • Release : 01 August 2021
GET THIS BOOKThe New Statistics with R

Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologist's training. This accessible book provides a contemporary introduction to the classical techniques and modern extensions of linear model analysis: one of the most useful approaches in the analysis of scientific data in the life and environmental sciences. It emphasizes an estimation-based approach that accounts for recent criticisms of the over-use of

The R Book

The R Book
  • Author : Michael J. Crawley
  • Publisher : John Wiley & Sons
  • Release : 13 June 2007
GET THIS BOOKThe R Book

The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked

R in Action

R in Action
  • Author : Robert I. Kabacoff
  • Publisher : Simon and Schuster
  • Release : 20 May 2015
GET THIS BOOKR in Action

Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis,

Discovering Statistics Using R

Discovering Statistics Using R
  • Author : Andy Field,Jeremy Miles,Zoë Field
  • Publisher : SAGE
  • Release : 07 March 2012
GET THIS BOOKDiscovering Statistics Using R

Lecturers - request an e-inspection copy of this text or contact your local SAGE representative to discuss your course needs. Watch Andy Field's introductory video to Discovering Statistics Using R 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

An Introduction to Statistical Learning

An Introduction to Statistical Learning
  • Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
  • Publisher : Springer Science & Business Media
  • Release : 24 June 2013
GET THIS BOOKAn Introduction to Statistical Learning

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 to marketing to 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, and more.

Biostatistics with R

Biostatistics with R
  • Author : Babak Shahbaba
  • Publisher : Springer Science & Business Media
  • Release : 15 December 2011
GET THIS BOOKBiostatistics with R

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