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

By: Material type: TextTextPublication details: New York, NY : Routledge, c 2023.Edition: Second editionDescription: xx, 357 p.: ill,; 28 cmISBN:
  • 9781000812909
  • 9781003278412
Subject(s): Additional physical formats: Print version:: R data analysis without programmingDDC classification:
  • 519.502855133 23 GER-R 2023 1600025
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"--
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Books Books Clinical Psychology Library Book Cart Book 519.502855133 GER-R 2023 1600025 (Browse shelf(Opens below)) C 1 Available 1600025
Total holds: 0

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"--

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