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1 <html> <head>
2 <title>Comparison of Matlab, R/S/Splus, Gauss, etc.</title>
3 </head>
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5 <body>
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8 <h1>Comparison of Matlab, R/S/Splus, Gauss, etc.</h1>
9
10 <ul>
11 <li> <a href="http://www.scientificweb.com/ncrunch/">Comparison of
12 mathematical programs for data analysis</a>,
13 Stefan Steinhaus, tech report, 2000.
14 <br>
15 This is a very detailed comparison of features and speed of several
16 interactive scientific programming environments, e.g. Matlab,
17 Mathematica, Splus.
18
19
20 <!--
21 <p>
22 <li> <a href="Papers/gauss.econ.review.ps">Econometric
23 programming environments: Gauss, Ox and S-PLUS</a>,
24 Francisco Cribari-Neto.
25 J. of Applied Econometrics, 12(1):77-89, 1997
26 <br>
27 Ox can not be used interactively, and has a C-style syntax (it even
28 requires users to pre-declare variables!). Its only advantage is speed.
29 S-Plus has tons of features and good documentation, but is slow.
30 Gauss is somewhere in between.
31
32
33 <p>
34 <li> <a href="Papers/matlab.econ.review.ps">MATLAB as an econometric
35 programming environment</a>,
36 Francisco Cribari-Neto and Mark J. Jensen.
37 J. of Applied Econometrics, 12(6):735-432, 1997.
38 <br>
39 The basic conclusion is that Matlab has excellent graphics and
40 sparse-matrix facilities, but is slower than Gauss/Ox (especially on
41 code
42 with loops), and has few statistical routines built-in (one must buy the
43 stats toolbox).
44
45
46
47 <p>
48 <li> <a href="Papers/R.econ.review.ps">R: Yet another econometric
49 programming environment</a>,
50 Francisco Cribari-Neto and S. Zarkos.
51 J. of Applied Econometrics, 14(3):319-329, 1999.
52 <br>
53 The basic conclusion is that R is much faster than Splus on
54 code with loops, but a little bit slower on vectorized code. (Gauss/
55 Ox is much faster than both; in my experience, R and Matlab have about
56 the same speed.)
57 However, R has much better memory management than Splus, and R is free. Otherwise, R/S/Splus
58 are essentially the same.
59 -->
60
61
62 </ul>