MARC details
000 -LEADER |
fixed length control field |
02968nam a2200229Ia 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
NULRC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250520103007.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
250520s9999 xx 000 0 und d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781119337065 |
040 ## - CATALOGING SOURCE |
Transcribing agency |
NULRC |
050 ## - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA 276.45.R3 .S36 2017 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Schmuller, Joseph |
Relator term |
author |
245 #0 - TITLE STATEMENT |
Title |
Statistical analysis with R (For dummies) / |
Statement of responsibility, etc. |
Joseph Schmuller |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Hoboken, New Jersey : |
Name of publisher, distributor, etc. |
For Dummies, a Wiley brand, |
Date of publication, distribution, etc. |
c2017 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiii, 438 pages : |
Other physical details |
illustrations ; |
Dimensions |
24 cm. |
365 ## - TRADE PRICE |
Price amount |
USD20 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes index. |
505 ## - FORMATTED CONTENTS NOTE |
Formatted contents note |
Chapter1.Data, statistics, and decisions -- Chapter2. R: what it does and how it does it -- Chapter3. Getting graphic -- Chapter4. Finding your center -- Chapter5. Deviating from the average -- Chapter6. Meeting standards and standings -- Chapter7. Summarizing it all -- Chapter8.What's normal? -- Chapter9. The confidence game: estimation -- Chapter10. One-sample hypothesis testing -- Chapter11. Two-sample hypothesis testing -- Chapter12. Testing more than two samples --Chapter13. More complicated testing -- Chapter14. Regression: linear, multiple, and the general linear model -- Chapter15. Correlation: the rise and fall of relationships -- Chapter16. Curvilinear regression: when relationships get complicated -- Chapter17. Introducing probability -- Chapter18.Introducing modeling -- Chapter19. Ten tips for Excel emigrés -- Chapter20. Ten valuable online R resources. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses--as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data--the fast and easy way! |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
STATISTICS -- DATA PROCESSING |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Books |