By Vikram Dayal

ISBN-10: 813222339X

ISBN-13: 9788132223399

This e-book supplies an advent to R to accumulate graphing, simulating and computing talents to let one to work out theoretical and statistical versions in economics in a unified manner. the good good thing about R is that it truly is free, extremely versatile and extensible. The ebook addresses the explicit wishes of economists, and is helping them circulation up the R studying curve. It covers a few mathematical themes comparable to, graphing the Cobb-Douglas functionality, utilizing R to review the Solow development version, as well as statistical themes, from drawing statistical graphs to doing linear and logistic regression. It makes use of info that may be downloaded from the net, and that's additionally on hand in several R applications. With a few therapy of easy econometrics, the e-book discusses quantitative economics largely and easily, taking a look at types within the mild of information. scholars of economics or economists prepared to profit how one can use R may locate this publication very useful.

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An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing (SpringerBriefs in Economics) by Vikram Dayal


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