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author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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+<html> <head>
+<title>Comparison of Matlab, R/S/Splus, Gauss, etc.</title>
+</head>
+
+<body>
+<!--<body  bgcolor="#FFFFFF"> -->
+
+<h1>Comparison of Matlab, R/S/Splus, Gauss,  etc.</h1>
+
+<ul>
+<li> <a href="http://www.scientificweb.com/ncrunch/">Comparison of
+mathematical programs for data analysis</a>,
+Stefan Steinhaus, tech report, 2000.
+<br>
+This is a very detailed comparison of features and speed of several
+interactive scientific programming environments, e.g. Matlab,
+Mathematica, Splus.
+
+
+<!--
+<p>
+<li> <a href="Papers/gauss.econ.review.ps">Econometric
+programming environments: Gauss, Ox and S-PLUS</a>,
+Francisco Cribari-Neto.
+J. of Applied Econometrics, 12(1):77-89, 1997
+<br>
+Ox can not be used interactively, and has a C-style syntax (it even
+requires users to pre-declare variables!). Its only advantage is speed.
+S-Plus has tons of features and good documentation, but is slow.
+Gauss is somewhere in between.
+
+
+<p>
+<li> <a href="Papers/matlab.econ.review.ps">MATLAB as an econometric
+programming environment</a>,
+Francisco Cribari-Neto and Mark J. Jensen.
+J. of Applied Econometrics, 12(6):735-432, 1997.
+<br>
+The basic conclusion is that Matlab has excellent graphics and
+sparse-matrix facilities, but is slower than Gauss/Ox (especially on
+code 
+with loops), and has few statistical routines built-in (one must buy the
+stats toolbox).
+
+
+
+<p>
+<li> <a href="Papers/R.econ.review.ps">R: Yet another  econometric
+programming environment</a>,
+Francisco Cribari-Neto and S. Zarkos.
+J. of Applied Econometrics, 14(3):319-329, 1999.
+<br>
+The basic conclusion is that R is much faster than Splus on
+code with loops, but a little bit slower on vectorized code. (Gauss/
+Ox is much faster than both; in my experience, R and Matlab have about
+the same speed.)
+However, R has much better memory management than Splus, and R is free. Otherwise, R/S/Splus
+are essentially the same.
+-->
+
+
+</ul>