Using R and RStudio for Data Management, Statistical Analysis, and Graphics

Using R and RStudio for Data Management, Statistical Analysis, and Graphics
Author: Nicholas J. Horton
Publisher: CRC Press
Total Pages: 280
Release: 2015-03-10
Genre: Mathematics
ISBN: 1482237377


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This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots. It also provides a detailed discussion of the philosophy and use of the knitr and markdown packages for R.


Using R and RStudio for Data Management, Statistical Analysis, and Graphics
Language: en
Pages: 280
Authors: Nicholas J. Horton
Categories: Mathematics
Type: BOOK - Published: 2015-03-10 - Publisher: CRC Press

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This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offer
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Pages: 256
Authors: Martin Elff
Categories: Social Science
Type: BOOK - Published: 2021-01-09 - Publisher: Sage Publications Limited

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An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers, this book shows students how to recode and docu
SAS and R
Language: en
Pages: 325
Authors: Ken Kleinman
Categories: Mathematics
Type: BOOK - Published: 2009-07-21 - Publisher: CRC Press

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An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and
SAS and R
Language: en
Pages: 473
Authors: Ken Kleinman
Categories: Mathematics
Type: BOOK - Published: 2014-07-17 - Publisher: CRC Press

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Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac