If you want to learn to use R for data analysis but aren't sure how to
get started, this practical book will help you find the right path
through your data.
Drawing on real-world data to show you how to use different techniques
in practice, it helps you progress your programming and statistics
knowledge so you can apply the most appropriate tools in your
research.
It starts with descriptive statistics and moves through regression to
advanced techniques such as structural equation modelling and Bayesian
statistics, all with digestible mathematical detail for beginner
researchers.
The book:
- Shows you how to use R packages and apply functions, adjusting them to
suit different datasets.
- Gives you the tools to try new statistical techniques and empowers you
to become confident using them.
- Encourages you to learn by doing when running and adapting the
authors' own code.
- Equips you with solutions to overcome the potential challenges of
working with real data that may be messy or imperfect.
Accompanied by online resources including screencast tutorials of R that
give you step by step guidance and R scripts and datasets for you to
practice with, this book is a perfect companion for any student of
applied statistics or quantitative research methods courses.