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- Chapman & Hall/CRC: The R Series (Hardcover): Introduction
- Introduction to Scientific Programming and Simulation Using R
- Introduction to Scientific Programming and Simulation Using R.pdf

*R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. Pre-compiled executables are provided for various operating systems. Although R has a command line interface , there are several third-party graphical user interfaces , such as RStudio , an integrated development environment , and Jupyter , a notebook interface.*

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You can change your ad preferences anytime. Upcoming SlideShare. Like this document? Why not share! Embed Size px. Start on. Show related SlideShares at end. WordPress Shortcode. VirginiaAttwood Follow. Published in: Science. Full Name Comment goes here. Are you sure you want to Yes No. Be the first to like this. No Downloads. Views Total views. Actions Shares. No notes for slide. Introduction to scientific programming and simulation using r pdf 1. Known for its versatility, the free programming language R is widely used for statistical computing and graphics, but is also a fully functional programming language well suited to scientific programming.

An Introduction to Scientific Programming and Simulation Using R teaches the skills needed to perform scientific programming while also introducing stochastic modelling. Stochastic modelling in particular, and mathematical modelling in general, are intimately linked to scientific programming because the numerical techniques of scientific programming enable the practical application of mathematical models to real-world problems. A tried and tested pedagogic approach is employed throughout, with numerous examples, exercises, and a suite of practice projects.

Unlike most guides to R, this volume is not about the application of statistical techniques, but rather shows how to turn algorithms into code. It is for those who want to make tools, not just use them.

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*In all the millions of years that this planet has had life on it, that mutation must have occurred, and probably very early.*

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Using R for Numerical Analysis in Science and Engineering, Victor A. Bloomfield Introduction to Scientific Programming and Simulation Using R, Second Edition, International Standard Book Number (eBook - PDF).