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R data analysis without programming : explanation and interpretation / David W. Gerbing.

By: Material type: TextTextPublisher: New York, NY : Routledge, [2022]Edition: Second editionDescription: xx, 357 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781032244020
  • 9781032244037
Subject(s): Additional physical formats: Online version:: R data analysis without programming.DDC classification:
  • 519.50285/5133 23/eng20221102
LOC classification:
  • QA276.45.R3 G46 2022
Summary: "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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Main Library Reserve Reference 519.50285/5133 G363 2023 (Browse shelf(Opens below)) Available 3BPSU00017952Z

Includes bibliographical references and index.

"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.

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