EUR 18,58
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Paperback. Condizione: new. Paperback. Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling.Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done.You will:Acquire and install R and RStudioImport and export data from multiple file formatsAnalyze data and generate graphics (including confidence intervals)Interactively conduct hypothesis testingCode multiple and moderated regression solutions Who This Book Is For Programmers and data analysts who are new to R. Some prior experience in programming is recommended. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 27,30
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 1st ed. Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling.Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done.You will:Acquire and install R and RStudioImport and export data from multiple file formatsAnalyze data and generate graphics (including confidence intervals)Interactively conduct hypothesis testingCode multiple and moderated regression solutions Who This Book Is For Programmers and data analysts who are new to R. Some prior experience in programming is recommended.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 17,74
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2020. 1st ed. Paperback. . . . . .
Condizione: New. 2020. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.
EUR 16,24
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Aggiungi al carrelloCondizione: New. In.
EUR 12,88
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Aggiungi al carrelloPaperback. Condizione: New.
EUR 18,54
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Aggiungi al carrelloCondizione: New. In.
EUR 15,81
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
EUR 17,65
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 11,33
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: Good. Used copy in good condition - Usually dispatched within 3 working days.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
EUR 15,82
Quantità: 2 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 3 working days.
EUR 39,62
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 43,19
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Aggiungi al carrelloCondizione: New.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Advanced R 4 Data Programming and the Cloud: Using Postgresql, Aws, and Shiny. Book.
EUR 33,49
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 428 pages. 9.00x6.00x0.97 inches. In Stock.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 48,60
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: California Books, Miami, FL, U.S.A.
EUR 51,33
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Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 49,47
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Aggiungi al carrelloCondizione: New.
Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 48,28
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Aggiungi al carrelloCondizione: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 52,02
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Aggiungi al carrelloCondizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 58,41
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 56,50
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Literary Cat Books, Machynlleth, Powys, WALES, Regno Unito
Membro dell'associazione: IOBA
Prima edizione
EUR 49,87
Quantità: 1 disponibili
Aggiungi al carrelloOriginal decorated wrappers. Condizione: Very Good. First Edition. With illustrations. Slight wear to spine, covers & corners. Spine uncreased. ; Large 8vo 9" - 10" tall; xx, 279 pages.
EUR 18,49
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. Written by R and statistical programming expertsA unique tutorial on beginning to program with the new R 4 programming languageCovers installing and using R.
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Prima edizione
EUR 71,09
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 1st ed. Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes with a case study.Written by Matt and Joshua F. Wiley, Advanced R Statistical Programming and Data Models shows you how to conduct data analysis using the popular R language. You'll delve into the preconditions or hypothesis for various statistical tests and techniques and work through concrete examples using R for a variety of these next-level analytics. This is a must-have guide and reference on using and programming with the R language. What You'll LearnConduct advanced analyses in R including: generalized linear models, generalized additive models, mixedeffects models, machine learning, and parallel processingCarry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysisHandle machine learning using R including parallel processing, dimension reduction, and feature selection and classificationAddress missing data using multiple imputation in RWork on factor analysis, generalized linear mixed models, and modeling intraindividual variability Who This Book Is For Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to perform more advanced analytics. Particularly, researchers and data analysts in the social sciences may benefit from these techniques. Additionally, analysts who need parallel processing to speed up analytics are givenproven code to reduce time to result(s).
EUR 39,96
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling.Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done.You will:Acquire and install R and RStudioImport and export data from multiple file formatsAnalyze data and generate graphics (including confidence intervals)Interactively conduct hypothesis testingCode multiple and moderated regression solutions Who This Book Is For Programmers and data analysts who are new to R. Some prior experience in programming is recommended. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.