Computational Statistics with R

Автор: Marepalli Rao

Език:

Корици: С твърди корици

Издател: Elsevier Science & Technology

Наличност: Налично при издателя, по поръчка

Изпращаме след 17-27 дни

161.19 € 315.26 лв

R is open source statistical computing software. Since the R core group was formed in 1997, R has be...

Информация за книгата

Автор

Marepalli Rao

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2014

страници

412

EAN

9780444634313

ISBN

0444634312

Enbook ID

05335133

Издател

Elsevier Science & Technology

Теглоt

802

Размери

240 x 160 x 23

Пълно описание

R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered. * Addresses data examples that can be downloaded directly from the R website* No other source is needed to gain practical experience* Focus on the essentials in graphical outlays

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Computational Statistics with R

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