Applied Econometrics with R

Download or Read online Applied Econometrics with R full in PDF, ePub and kindle. This book written by Christian Kleiber and published by Springer Science & Business Media which was released on 10 December 2008 with total pages 222. Read Applied Econometrics with R Book directly on your devices, fast download and no annoying ads.

Applied Econometrics with R
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Publisher : Springer Science & Business Media
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ISBN : 9780387773186
Pages : 222 pages
Rating : 5/5 (1 users)
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Download or Read Online Applied Econometrics with R in PDF, Epub and Kindle

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.

Applied Econometrics with R

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand,

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