Beginning R 4 : From Beginner to Pro / / by Matt Wiley, Joshua F. Wiley

• Autore: Wiley Matt
• Pubblicazione: Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XX, 467 p. 110 illus., 66 illus. in color.)
• Disciplina: 005.262
• Soggetto topico: Compilers (Computer programs); Computer programming; Computer science—Mathematics; Mathematical statistics; Compilers and Interpreters; Programming Techniques; Probability and Statistics in Computer Science
• Persona (resp. second.): WileyJoshua F.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 1: Installing R -- 2: Installing Packages and Using Libraries -- 3: Data Input and Output -- 4: Working with Data -- 5: Data and Samples -- 6: Descriptive Statistics -- 7: Understanding Probability and Distribution -- 8: Correlation and Regression -- 9: Confidence Intervals -- 10: Hypothesis Testing -- 11: Multiple Regression -- 12: Moderated Regression -- 13: Analysts of Variance -- Bibliography.
• Sommario/riassunto: 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 RStudio Import and export data from multiple file formats Analyze data and generate graphics (including confidence intervals) Interactively conduct hypothesis testing Code multiple and moderated regression solutions.
• Titolo autorizzato: Beginning R 4
• ISBN: 1-4842-6053-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910427048803321
• Lo trovi qui: Univ. Federico II