Computational Physics is a well-established discipline in today's research and teaching academic panorama. Most of the emphasis of modern scholarship is on the numerical techniques adopted, their implementation in computer algorithms and in code parallelisation.

R has been initially developed to serve the needs of the community of statisticians, but its strong emphasis on random simulations and the optimised speed of their execution has immediately attracted the interest of disciplines depending on quantitative data. It has become the main vehicle for statistical exploration and effective simulations in many disciplines like chemistry, biology and medicine.

This book has two primary goals: To introduce the R language to the physics community and to demonstrate its advantages as a simulations' tool; and to make physics simulations accessible to a wider audience of scientists via the use of the many powerful and ready-to-use R packages and R functions. It covers traditional topics in classical and quantum computational physics, but its emphasis is in the adoption of the many features, routines and modules of the R platform to save coding time and to exploit the enormous potential and efficiency of R functions for the generation and analysis of data.

With the exclusion of the introductory chapters, each chapter includes sections presenting: a) a theoretical introduction to specific computational techniques, b) their application to well-defined physics examples, c) the R approach to the coding required and d) ready-to-use packages and functions in R to carry out the tasks included in the physics examples, e) suggested projects with guided solutions.

Readers of the book will learn R within familiar applications in physics and will inevitably acquire the statistical set of mind infused by the continued use of this programming language.