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Beschreibung
This approachable introduction to doing data science in R provides step-by-step advice on using data science tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.
This approachable introduction to doing data science in R provides step-by-step advice on using data science tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.
Über den Autor
Dr Mark Andrews is a Senior Lecturer in Psychology at Nottingham Trent University.
Inhaltsverzeichnis
Chapter 1: Data Analysis And Data Science
Chapter 2: Introduction To R
Chapter 3: Data Wrangling
Chapter 4: Data Visualization
Chapter 5: Exploratory Data Analysis
Chapter 6: Programming In R
Chapter 7: Reproducible Data Analysis
Chapter 8: Statistical Models and Statistical Inference
Chapter 9: Normal Linear Models
Chapter 10: Logistic Regression
Chapter 11: Generalized Linear Models for Count Data
Chapter 12: Multilevel Models
Chapter 13: Nonlinear Regression
Chapter 14: Structural Equation Modelling
Chapter 15: High Performance Computing with R
Chapter 16: Interactive Web Apps with Shiny
Chapter 17: Probabilistic Modelling with Stan
Details
Erscheinungsjahr: 2021
Fachbereich: Allgemeines
Genre: Importe
Rubrik: Sozialwissenschaften
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781526486776
ISBN-10: 1526486776
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Andrews, Mark
Redaktion: Andrews, Mark
Hersteller: SAGE Publishing Ltd
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 244 x 170 x 34 mm
Von/Mit: Mark Andrews
Erscheinungsdatum: 31.03.2021
Gewicht: 1,087 kg
Artikel-ID: 118974603