Read Statistics with R Books PDF

Read Statistics with R Books PDF

Authors : Robert Stinerock
Publisher : SAGE
Published Date : 2018-01-08
ISBN-13 : 9781526421470
Page : 392 Pages
Language : en




Descriptions
Read Statistics with R Books PDF

Statistics with R

The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to:

  • Complete an introductory course in statistics
  • Prepare for more advanced statistical courses
  • Gain the transferable analytical skills needed to interpret research from across the social sciences
  • Learn the technical skills needed to present data visually
  • Acquire a basic competence in the use of R.

The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions.

Author Robert Stinerock has also created a wide range of online resources, including: R scripts, complete solutions for all exercises, data files for each chapter, video and screen casts, and interactive multiple-choice quizzes.

An Introduction to Statistical Learning
Language: en
Pages: 426

An Introduction to Statistical Learning

Authors: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Categories: Mathematics
Type: BOOK - Published: 2013-06-24 - Publisher: Springer Science & Business Media
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
The R Book
Language: en
Pages: 950

The R Book

Authors: Michael J. Crawley
Categories: Mathematics
Type: BOOK - Published: 2007-06-13 - Publisher: John Wiley & Sons
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
Using R for Introductory Statistics, Second Edition
Language: en
Pages: 518

Using R for Introductory Statistics, Second Edition

Authors: John Verzani
Categories: Mathematics
Type: BOOK - Published: 2014-06-26 - Publisher: CRC Press
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
Introductory Statistics with R
Language: en
Pages: 364

Introductory Statistics with R

Authors: Peter Dalgaard
Categories: Mathematics
Type: BOOK - Published: 2008-06-27 - Publisher: Springer Science & Business Media
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
Handbook of Statistics
Language: en
Pages: 412

Handbook of Statistics

Authors: Peter Dalgaard
Categories: Mathematics
Type: BOOK - Published: 2014-11-27 - Publisher: Elsevier
R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical