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R in Action
  • Language: en
  • Pages: 970

R 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, and classification methodologies, including decision trees, random forests, and support vector machines. Purchase of the print book includes a free eBook in PDF, Kindl...

R in Action, Third Edition
  • Language: en
  • Pages: 654

R in Action, Third Edition

R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean, manage, and analyze data with R Use the ggplot2 package for graphs and visualizations Solve data management problems using R functions Fit and interpret regression models Test hypotheses and estimate confidence Simplify complex multivariate data with principal components and exploratory factor analysis Make predictions using time series forecasting Create dynamic reports and stunning visualizations ...

Modern Data Visualization with R
  • Language: en

Modern Data Visualization with R

  • Type: Book
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  • Published: 2024
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  • Publisher: Unknown

Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree maps, alluvial plots, radar charts, mosaic plots, effects plots, correlation plots, biplots, and the mapping of geographic data. Both static and interactive graphics are described and the use of color, shape, shading, grouping, annotation, and animations are covered in detail. The book moves from a default look and feel for graphs, to graphs with customized colors, fonts, legends, annotations, and organizational themes.

Evaluating Research Articles From Start to Finish
  • Language: en
  • Pages: 417

Evaluating Research Articles From Start to Finish

  • Type: Book
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  • Published: 2011
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  • Publisher: SAGE

Using examples of good as well as flawed research studies, this text explains how to decide whether the conclusions reported in an article are justified on the basis of the design and analysis of the experiment.

R in Action
  • Language: en
  • Pages: 447

R in Action

The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process, and respond intelligently to statistical information. R in Actionis the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features. Coverage includes data mining methodologies, approaches to messy data, R's extensive graphical environment, useful add-on modules, and how to interface R with other software platforms and data management systems.

Evaluating Research Articles from Start to Finish
  • Language: en
  • Pages: 386

Evaluating Research Articles from Start to Finish

  • Type: Book
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  • Published: 2001-04-19
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  • Publisher: SAGE

Describes how to critique various types of study including: case studies, surveys, correlation studies, regression analysis studies, factor-analytic studies, discriminant analysis studies, factorial studies, and quasi-experimental studies.

The R Book
  • Language: en
  • Pages: 953

The R Book

The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and in...

R in Action, Third Edition
  • Language: en
  • Pages: 654

R in Action, Third Edition

'R in Action' presents both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features.

Using R for Data Management, Statistical Analysis, and Graphics
  • Language: en
  • Pages: 299

Using R for Data Management, Statistical Analysis, and Graphics

  • Type: Book
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  • Published: 2010-07-28
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  • Publisher: CRC Press

Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes

A Tiny Handbook of R
  • Language: en
  • Pages: 89

A Tiny Handbook of R

This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation.