This book is designed for users who already know R or MATLAB® and now need to learn the other platform. 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.
This book is designed for users who already know R or MATLAB® and now need to learn the other platform. 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.
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.
Inhaltsangabe
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.
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.
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