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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    paperback. Condition: Good. 1st ed. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

  • Language: English

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  • Language: English

    Published by Apress, 2015

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  • Language: English

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  • Language: English

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  • Language: English

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  • Language: English

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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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    Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

  • Language: English

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    Paperback. Condition: Brand New. 310 pages. 9.00x7.25x0.75 inches. In Stock.

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  • Language: English

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  • Language: English

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    Paperback. Condition: Brand New. 2nd edition. 350 pages. 10.00x7.00x0.75 inches. In Stock.

  • Language: English

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    Language: English

    Published by Apress, 2012

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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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  • Language: English

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    Condition: New. PRINT ON DEMAND pp. 350.

  • Language: English

    Published by Apress, Apress, 2015

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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.