Doing Data Science in R by Andrews, Mark -- Read -- Imperial Library of Trantor

Index

Cover Half Title Acknowledgements Title Page Copyright Page Contents About the Author Online Resources 1 Data Analysis and Data Science Part I Fundamentals of Data Analysis and Data Science 2 Introduction to R 3 Data Wrangling 4 Data Visualization 5 Exploratory Data Analysis 6 Programming in R 7 Reproducible Data Analysis Part II Statistical Modelling 8 Statistical Models and Statistical Inference 9 Normal Linear Models 10 Logistic Regression 11 Generalized Linear Models for Count Data 12 Multilevel Models 13 Nonlinear Regression 14 Structural Equation Modelling Part III Advanced or Special Topics in Data Analysis 15 High-Performance Computing with R 16 Interactive Web Apps with Shiny 17 Probabilistic Modelling with Stan References Index

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