The book of R : a first course in programming and statistics / by Tilman M. Davies.

By:

Davies, Tilman M [author.]

Material type: Text

TextPublisher: San Francisco : No Starch Press, [2016]Description: xxxi, 792 pages ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781593276515

Subject(s):

DDC classification:

519.50285 23 DAB

Summary: "A beginner's guide to programming with R, the statistical programming language. Covers key programming techniques like manipulating data structures, reading data from a file, and writing functions. Introduces statistics topics like probability distributions, hypothesis testing, regression analysis, and statistical plots. Includes exercises throughout each chapter"-- Provided by publisher.

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

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Books	Central Library, SUST General Stacks	519.50285 DAB (Browse shelf(Opens below))	1	Available		0080124
Books	Central Library, SUST General Stacks	519.50285 DAB (Browse shelf(Opens below))	2	Available		0080125

Browsing Central Library, SUST shelves, Shelving location: General Stacks Close shelf browser (Hides shelf browser)

Previous								Next
Previous	519.5028 FID Discovering statistics using IBM SPSS statistics :	519.50285 BAI An introduction to modern econometrics using Stata /	519.50285 DAB The book of R : a first course in programming and statistics /	519.50285 DAB The book of R : a first course in programming and statistics /	519.50285 EVH A handbook of statistical analyses using SAS /	519.50285 EVH A handbook of statistical analyses using SAS /	519.50285 FRP Programming skills for data science : start writing code to wrangle, analyze, and visualize data with R /	Next

Includes bibliographical references (pages 761-765) and index.

"A beginner's guide to programming with R, the statistical programming language. Covers key programming techniques like manipulating data structures, reading data from a file, and writing functions. Introduces statistics topics like probability distributions, hypothesis testing, regression analysis, and statistical plots. Includes exercises throughout each chapter"-- Provided by publisher.

There are no comments on this title.

to post a comment.