Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/docs/matlab_comparison.html @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
---|---|
date | Tue, 10 Feb 2015 15:05:51 +0000 |
parents | |
children |
comparison
equal
deleted
inserted
replaced
-1:000000000000 | 0:e9a9cd732c1e |
---|---|
1 <html> <head> | |
2 <title>Comparison of Matlab, R/S/Splus, Gauss, etc.</title> | |
3 </head> | |
4 | |
5 <body> | |
6 <!--<body bgcolor="#FFFFFF"> --> | |
7 | |
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> |