R and MATLAB
Chapman & Hall/CRC The R Series

The First Book to Explain How a User of R or MATLAB Can Benefit from the Other

In today?s increasingly interdisciplinary world, R and MATLAB® users from different backgrounds must often work together and share code. R and MATLAB® is designed for users who already know R or MATLAB and now need to learn the other platform. The book makes the transition from one platform to the other as quick and painless as possible.

Enables R and MATLAB Users to Easily Collaborate and Share Code

The author covers essential tasks, such as working with matrices and vectors, writing functions and other programming concepts, graphics, numerical computing, and file input/output. He highlights important differences between the two platforms and explores common mistakes that are easy to make when transitioning from one platform to the other.

Installing and Running R and MATLAB. Getting Started: Variables and Basic Computations. Matrices and Vectors. Matrix/Vector Calculations and Functions. Lists and Cell Arrays. Flow Control. Running Code from Files: Scripts. Writing Your Own Functions. Probability and Random Numbers. Graphics. Numerical Computing. File Input and Output. Miscellaneous. Calling C. Bibliography. Indices.

David E. Hiebeler is an associate professor in the Department of Mathematics & Statistics at the University of Maine. He earned a PhD in applied mathematics from Cornell University. His research involves mathematical and computational stochastic spatial models in population ecology and epidemiology.