The Book of R: A First Course in Programming and Statistics (Record no. 98799)

MARC details
000 -LEADER
fixed length control field 02211 a2200193 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241122b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781593276515
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.64
Cutter DAV
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Davies Tilman M.
245 ## - TITLE STATEMENT
Title The Book of R: A First Course in Programming and Statistics
250 ## - EDITION STATEMENT
Edition statement 1st Ed
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc No Starch Press
Date of publication, distribution, etc 2016
Place of publication, distribution, etc USA
300 ## - PHYSICAL DESCRIPTION
Extent 792
520 ## - Remark
Summary, etc The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.<br/><br/>You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.<br/><br/>Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:<br/>–The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops<br/>–Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R<br/>–How to access R’s thousands of functions, libraries, and data sets<br/>–How to draw valid and useful conclusions from your data<br/>–How to create publication-quality graphics of your results<br/><br/>Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.<br/><br/>Source: https://books.google.co.in/books/about/The_Book_of_R.html?id=N4G7DQAAQBAJ&redir_esc=y
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a Information Technology
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Collection Type Full call number Barcode Date last seen Cost, replacement price Koha item type
    Dewey Decimal Classification     Reference book Main Library Main Library Information Technology 28/10/2024 Shroff Publishers 2639.20 Foreign Book 001.64 DAV 119567 28/10/2024 3299.00 Book

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