Using R And Rstudio for Data Management Statistical Analysis And Graphics at Meripustak

Using R And Rstudio for Data Management Statistical Analysis And Graphics

Books from same Author: Nicholas J Horton and Ken Kleinman

Books from same Publisher: T&F/Crc Press

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  • General Information  
    Author(s)Nicholas J Horton and Ken Kleinman
    PublisherT&F/Crc Press
    Edition2nd Edition
    ISBN9780367738464
    Pages316
    BindingSoftcover
    LanguageEnglish
    Publish YearDecember 2020

    Description

    T&F/Crc Press Using R And Rstudio for Data Management Statistical Analysis And Graphics by Nicholas J Horton and Ken Kleinman

    Improve Your Analytical SkillsIncorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the book’s simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information.New to the Second EditionThe use of RStudio, which increases the productivity of R users and helps users avoid error-prone cut-and-paste workflowsNew chapter of case studies illustrating examples of useful data management tasks, reading complex files, making and annotating maps, "scraping" data from the web, mining text files, and generating dynamic graphicsNew chapter on special topics that describes key features, such as processing by group, and explores important areas of statistics, including Bayesian methods, propensity scores, and bootstrappingNew chapter on simulation that includes examples of data generated from complex models and distributionsA detailed discussion of the philosophy and use of the knitr and markdown packages for RNew packages that extend the functionality of R and facilitate sophisticated analysesReorganized and enhanced chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plotsEasily Find Your Desired TaskConveniently organized by short, clear descriptive entries, this edition continues to show users how to easily perform an analytical task in R. Users can quickly find and implement the material they need through the extensive indexing, cross-referencing, and worked examples in the text. Datasets and code are available for download on a supplementary website.