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    R for Statistics

    €66.25
    ISBN: 9781439881453
    AuthorCornillon, Pierre-Andre (Universite Renn
    SubAuthor1Guyader, Arnaud (Universite Rennes 2, Fr
    SubAuthor2Husson, Francois (AGROCAMPUS OUEST, Renn
    SubAuthor3Jegou, Nicolas (Universite Rennes 2, Fra
    SubAuthor4Josse, Julie (Agrocampus Quest, Rennes C
    Pub Date21/03/2012
    BindingPaperback
    Pages320
    AvailabilityCurrently out of stock. If available, delivery is usually 5-10 working days.
    Availability: Out of Stock

    Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples.





    Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R.





    Focusing on the R software, the first section covers:








    Basic elements of the R software and data processing
    Clear, concise visualization of results, using simple and complex graphs
    Programming basics: pre-defined and user-created functions








    The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including:











    Regression methods
    Analyses of variance and covariance
    Classification methods
    Exploratory multivariate analysis
    Clustering methods
    Hypothesis tests








    After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist.



    Datasets and all the results described in this book are available on the book's webpage at http://www.agrocampus-ouest.fr/math/RforStat

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    Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples.





    Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R.





    Focusing on the R software, the first section covers:








    Basic elements of the R software and data processing
    Clear, concise visualization of results, using simple and complex graphs
    Programming basics: pre-defined and user-created functions








    The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including:











    Regression methods
    Analyses of variance and covariance
    Classification methods
    Exploratory multivariate analysis
    Clustering methods
    Hypothesis tests








    After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist.



    Datasets and all the results described in this book are available on the book's webpage at http://www.agrocampus-ouest.fr/math/RforStat