This book teaches readers how to analyse data using a programming language called 'R'. R is freely available software and is easily the most widely used program in ecology and evolutionary biology, and is quickly becoming the program-of-choice in other fields such as neuroscience and psychology.
This book teaches readers how to analyse data using a programming language called 'R'. R is freely available software and is easily the most widely used program in ecology and evolutionary biology, and is quickly becoming the program-of-choice in other fields such as neuroscience and psychology.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Justin Touchon grew up loving nature in Oregon, USA, spending his summers hiking and camping. After attending college at Willamette University, he conducted his doctoral research at Boston University. During his PhD, he discovered his love for the tropics, working and living at the Smithsonian Tropical Research Institute in Panama on and off for 10 years. Now an Associate Professor in the Biology Department at Vassar College, he spends his time studying frogs and tadpoles, teaching students about animals, behaviour, and statistics, and exploring the Hudson Valley with his family and friends.
Inhaltsangabe
Preface 1 Introduction to R 2 Before You Begin (aka Thoughts on Proper Data Analysis) 3 Exploratory Data Analysis and Data Summarization 4 Introduction to Plotting 5 Basic Statistical Analyses 6 More Linear Models! 7 Generalized Linear Models 8 Mixed Effects Models 9 Other useful models you should know about 10 Advanced Data Wrangling and Plotting 11 Writing Loops and Functions in R 12 Final Thoughts
Preface 1 Introduction to R 2 Before You Begin (aka Thoughts on Proper Data Analysis) 3 Exploratory Data Analysis and Data Summarization 4 Introduction to Plotting 5 Basic Statistical Analyses 6 More Linear Models! 7 Generalized Linear Models 8 Mixed Effects Models 9 Other useful models you should know about 10 Advanced Data Wrangling and Plotting 11 Writing Loops and Functions in R 12 Final Thoughts
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