New PDF release: Analysis of Categorical Data with R (Chapman & Hall/CRC

By Christopher R. Bilder,Thomas M. Loughin

ISBN-10: 1439855676

ISBN-13: 9781439855676

Learn tips to adequately learn specific Data
Analysis of specific information with R offers a contemporary account of specific information research utilizing the preferred R software program. It covers fresh recommendations of version development and evaluate for binary, multicategory, and count number reaction variables and discusses basics, corresponding to odds ratio and chance estimation. The authors provide precise recommendation and instructions on which strategies to take advantage of and why to exploit them.


The Use of R as either a knowledge research approach and a studying Tool
Requiring no previous adventure with R, the textual content deals an creation to the fundamental positive factors and features of R. It contains a number of examples from drugs, psychology, activities, ecology, and different components, besides wide R code and output. The authors use facts simulation in R to aid readers comprehend the underlying assumptions of a process after which to judge the procedure’s functionality. additionally they current many graphical demonstrations of the good points and homes of varied research equipment.


Web Resource
The facts units and R courses from every one instance can be found at www.chrisbilder.com/categorical. The courses contain code used to create each plot and piece of output. lots of those courses comprise code to illustrate extra good points or to accomplish extra targeted analyses than what's within the textual content. Designed for use in tandem with the publication, the web site additionally uniquely presents movies of the authors educating a direction at the topic. those movies comprise reside, in-class recordings, which teachers could locate priceless in a combined or flipped lecture room atmosphere. The video clips also are compatible in its place for a brief course.

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By Christopher R. Bilder,Thomas M. Loughin

ISBN-10: 1439855676

ISBN-13: 9781439855676

Learn tips to adequately learn specific Data
Analysis of specific information with R offers a contemporary account of specific information research utilizing the preferred R software program. It covers fresh recommendations of version development and evaluate for binary, multicategory, and count number reaction variables and discusses basics, corresponding to odds ratio and chance estimation. The authors provide precise recommendation and instructions on which strategies to take advantage of and why to exploit them.


The Use of R as either a knowledge research approach and a studying Tool
Requiring no previous adventure with R, the textual content deals an creation to the fundamental positive factors and features of R. It contains a number of examples from drugs, psychology, activities, ecology, and different components, besides wide R code and output. The authors use facts simulation in R to aid readers comprehend the underlying assumptions of a process after which to judge the procedure’s functionality. additionally they current many graphical demonstrations of the good points and homes of varied research equipment.


Web Resource
The facts units and R courses from every one instance can be found at www.chrisbilder.com/categorical. The courses contain code used to create each plot and piece of output. lots of those courses comprise code to illustrate extra good points or to accomplish extra targeted analyses than what's within the textual content. Designed for use in tandem with the publication, the web site additionally uniquely presents movies of the authors educating a direction at the topic. those movies comprise reside, in-class recordings, which teachers could locate priceless in a combined or flipped lecture room atmosphere. The video clips also are compatible in its place for a brief course.

Show description

Read or Download Analysis of Categorical Data with R (Chapman & Hall/CRC Texts in Statistical Science) PDF

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Analysis of Categorical Data with R (Chapman & Hall/CRC Texts in Statistical Science) by Christopher R. Bilder,Thomas M. Loughin


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