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R data analysis without programming: (Record no. 5700)

000 -LEADER
fixed length control field 02155nam a22002297a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250224153830.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250224b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032244037
040 ## - CATALOGING SOURCE
Language of cataloging eng
Transcribing agency ASCOT Library
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number Ref 005.133 G31r 2023.
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gerbing, David W.
Relator code author.
245 ## - TITLE STATEMENT
Title R data analysis without programming:
Remainder of title explanation and interpretation /
Statement of responsibility, etc by David W. Gerbing.
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York, NY :
Name of publisher, distributor, etc Routledge,
Date of publication, distribution, etc 2023.
300 ## - PHYSICAL DESCRIPTION
Extent xx, 357 pages :
Other physical details illus. ; 28 cm.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. R for Data Analysis. -- <br/>2. Read and Write Data. -- <br/>3. Manage Data. -- <br/>4. Categorical Variables. -- <br/>5. Continuous Variables. -- <br/>6. Statistics. -- <br/>7. Compare Two Samples. -- <br/>8. Compare Multiple Samples. -- <br/>9. Factorial Designs. -- <br/>10. Correlation. -- <br/>11. Regression Analysis. -- <br/>12. Multiple Regression. -- <br/>13. Categorical Regression Variables. -- <br/>14. Causality. -- <br/>15. Item and Factor Analysis. -- <br/>16. References. -- <br/>17. Index.
520 ## - SUMMARY, ETC.
Summary, etc "The new edition of this innovative book, R Data Analysis Without Programming, prepares the readers to quickly analyse data and interpret statistical results using R. Professor Gerbing has developed lessR, which is a ground-breaking method in alleviating the challenges of R programming. The lessR extends R, removing the need for programming. This edition expands upon the first edition's introduction to R through lessR which enables the readers to learn how to organize data for analysis, read the data into R, and generate output without performing numerous functions and programming exercises first. With lessR, readers can select the necessary procedure and change the relevant variables with simple function calls. The text reviews and explains basic statistical procedures with the lessR enhancements added to the standard R environment. Using lessR, data analysis with R becomes immediately accessible to the novice user and easier to use for the experienced user"-- Provided by publisher
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics -- Data processing.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming languages.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Reference ASCOT Library - Zabali Campus ASCOT Library - Zabali Campus Reference 17/02/2025 Regular Fund   Ref 005.133 G31r 2023. Ref0051304673 24/02/2025 24/02/2025 Books

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