Zustand: 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.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
EUR 62,70
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In den WarenkorbPaperback. Zustand: Brand New. 467 pages. 9.50x6.75x1.00 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 65,60
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In den WarenkorbPaperback. Zustand: Brand New. 279 pages. 9.75x6.75x0.75 inches. In Stock.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 72,56
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In den WarenkorbZustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 70,78
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In den WarenkorbPaperback. Zustand: Brand New. 2nd edition. 433 pages. 9.50x6.75x1.00 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 83,65
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In den WarenkorbPaperback. Zustand: Brand New. 638 pages. 10.00x7.00x1.50 inches. In Stock.
EUR 35,81
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In den WarenkorbZustand: Gut. Zustand: Gut | Seiten: 467 | Sprache: Englisch | Produktart: Bücher | 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.
Anbieter: medimops, Berlin, Deutschland
Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.