Beginning Introduction Statistical Programming by Pace Larry (29 results)

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    • Language: English

      Published by Apress, 2012

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    • Language: English

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    • Language: English

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    • Language: English

      Published by Apress, 2015

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    • Language: English

      Published by Apress 2012-10, 2012

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    • Language: English

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    • Language: English

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      Taschenbuch. Condition: Neu. Beginning R | An Introduction to Statistical Programming | Larry Pace | Taschenbuch | xxiv | Englisch | 2012 | Apress | EAN 9781430245544 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Language: English

      Published by Apress, Incorporated, 2015

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      Condition: New. pp. 350.

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      Language: English

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      Taschenbuch. Condition: Neu. Beginning R | An Introduction to Statistical Programming | Larry Pace (u. a.) | Taschenbuch | xxiii | Englisch | 2015 | Apress | EAN 9781484203743 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Language: English

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets. R is also becoming adopted into commercial tools such as Oracle Database. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for statistical exploration and research. Covers the freely-available R language for statistics Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done.

    • Language: English

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      Condition: New. PRINT ON DEMAND pp. 350.

    • Language: English

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Beginning R, Second Edition is a hands-on book showing howto use the R language, write and save R scripts, read in data files, and writecustom statistical functions as well as use built in functions. This book showsthe use of R in specific cases such as one-way ANOVA analysis, linear andlogistic regression, data visualization, parallel processing, bootstrapping,and more. It takes a hands-on, example-based approach incorporating bestpractices with clear explanations of the statistics being done. It has beencompletely re-written since the first edition to make use of the latestpackages and features in R version 3.R is a powerful open-source language and programmingenvironment for statistics and has become the de facto standard for doing,teaching, and learning computational statistics. R is both an object-oriented language and afunctional language that is easy to learn, easy to use, and completely free. Alarge community of dedicated R users and programmers provides an excellentsource of R code, functions, and data sets, with a constantly evolvingecosystem of packages providing new functionality for data analysis. R has alsobecome popular in commercial use at companies such as Microsoft, Google, andOracle. Your investment in learning R is sure to pay off in the long term as Rcontinues to grow into the go to language for data analysis and research.What You Will Learn:How to acquire and install RHot to import and export data and scriptsHow to analyze data and generate graphicsHow to program in R to write custom functionsHot to use R for interactive statistical explorationsHow to conduct bootstrapping and other advancedtechniques.