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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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EUR 24,31
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Añadir al carritoPaperback. Condición: 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 25,11
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Añadir al carritoPaperback. Condición: 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.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Añadir al carritoCondición: 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 15,83
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 43,66
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 47,00
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Añadir al carritoPaperback or Softback. Condición: New. Advanced R 4 Data Programming and the Cloud: Using Postgresql, Aws, and Shiny. Book.
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Añadir al carritoPaperback. Condición: Brand New. 428 pages. 9.00x6.00x0.97 inches. In Stock.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: medimops, Berlin, Alemania
EUR 47,19
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 57,44
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Librería: AussieBookSeller, Truganina, VIC, Australia
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EUR 29,99
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Añadir al carritoPaperback. Condición: 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.
Librería: Literary Cat Books, Machynlleth, Powys, WALES, Reino Unido
Miembro de asociación: IOBA
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EUR 49,94
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Añadir al carritoOriginal decorated wrappers. Condición: 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
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Añadir al carritoCondición: 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.
EUR 57,15
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