An accessible introduction to statistical data analysis and modelling using the widely used programming language R. Beginning with a general introduction to the idea of statistical modelling, this book presents a range of approaches including linear regression models, models for binary, categorical and count data, and models for hierarchical and clustered data structures. It outlines various technical statistical aspects of these approaches, and their application in social science research. The final chapter is more practical and shows how readers can begin to undertake statistical modelling of their own. This book is for anyone working across the social sciences who is considering using statistical modelling in R in their own research.