Doing data science in R : an introduction for social scientists /: an introduction for social scientists. (2021)

• Record Type: Book
• Further Information: Note: Mark Andrews.
• Authors: Andrews, Mark
• Contents: 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
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 006.312; Data mining; Big data; R (Computer program language)
• Languages: English
• ISBNs: 9781529752694
• Related ISBNs: 9781526486769; 9781526486776
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.