Discrete data analysis with R : visualization and modeling techniques for categorical and count data

By:

Friendly, Michael

Material type: Text

TextSeries: Texts in Statistical SciencePublication details: London CRC Press 2016Description: xvii, 544p. HBISBN:

978-1498725835

Subject(s):

Mathematics--Data processing R (Computer program language) GLM Models

DDC classification:

519.50285 FRI

Online resources:

Click here to access online

Summary: Provides an accessible introduction to the major methods of categorical data analysis for data exploration, statistical testing, and statistical models Emphasizes computing, visualizing, understanding, and communicating the results of the analyses Helps students translate theory into practical application by developing their skills and providing software tools for carrying out the methods Includes many examples using real data, which are often treated from several perspectives Contains lab exercises that encourage students to work through applications of the methods, making the book suitable for classroom use and self-study

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	519.50285 FRI (Browse shelf(Opens below))	Available		B2309

Browsing H.T. Parekh Library shelves, Collection: GSB Collection Close shelf browser (Hides shelf browser)

Previous		No cover image available						Next
Previous	519.5024658 VIS Business statistics: an applied orientation	519.502465815 RUP Statistics and finance: an introduction	519.502465815 RUP Statistics and finance :	519.50285 FRI Discrete data analysis with R : visualization and modeling techniques for categorical and count data	519.50285 HOT Handbook of statistical analyses using R	519.50285 KEE Graphics for statistics and data analysis with R	519.502855133 DEN R Student companion	Next

Alpha Books 2383/ 02-02-17 Rs.5922/-

Provides an accessible introduction to the major methods of categorical data analysis for data exploration, statistical testing, and statistical models
Emphasizes computing, visualizing, understanding, and communicating the results of the analyses
Helps students translate theory into practical application by developing their skills and providing software tools for carrying out the methods
Includes many examples using real data, which are often treated from several perspectives
Contains lab exercises that encourage students to work through applications of the methods, making the book suitable for classroom use and self-study

There are no comments on this title.

to post a comment.