Wednesday, January 25, 2012

Cinnamon

Cinnamon is a promising project aiming to deliver a more usable Linux desktop environment.

Monday, January 23, 2012

Clang vs. gcc

This article about clang vs. gcc is helpful.

Sunday, January 22, 2012

Some Rcpp benchmarks

I ran the Fibonacci number example from the Rcpp package on a number of computers and operating systems. Here are the results:

A. On my main computer (Core 2 Extreme 3.06GHz, 8 GB memory) running Ubuntu 10.04 (g++ 4.4.3):
        test replications elapsed relative user.self sys.self
3 fibRcpp(N)            1   0.148   1.0000      0.14     0.01
1    fibR(N)            1  87.078 588.3649     87.03     0.04
2   fibRC(N)            1  91.209 616.2770     91.14     0.07

B. Same computer running Windows Vista (g++ 4.5.0):

        test replications elapsed relative user.self sys.self
3 fibRcpp(N)            1    0.21   1.0000      0.21     0.00
1    fibR(N)            1   92.08 438.4762     90.47     0.05
2   fibRC(N)            1   94.39 449.4762     93.13     0.03


C. On my second laptop (Core 2 Duo 2.53GHz, 4 GB memory) running Windows 7 (g++ 4.5.0):

        test replications elapsed relative user.self sys.self
3 fibRcpp(N)            1    0.17   1.0000      0.17     0.00
1    fibR(N)            1   73.62 433.0588     73.47     0.00
2   fibRC(N)            1   74.27 436.8824     74.20     0.03

D. On the same computer running Revolution R Enterprise 5:
      test replications elapsed relative user.self sys.self
2 fibRC(N)            1   72.31 1.000000     72.09        0
1  fibR(N)            1   72.99 1.009404     72.79        0 

E. On my third laptop (Core 2 Duo 2.50GHz, 2 GB memory) running Mint Debian (g++ 4.6.2):
        test replications elapsed relative user.self sys.self
3 fibRcpp(N)            1   0.148   1.0000     0.148     0.00
1    fibR(N)            1  65.535 442.8041     65.328    0.200
2   fibRC(N)            1  65.664 443.6757     65.492    0.172


Why the faster computer performed worse, on both R and Rcpp versions?

Rcpp on windows

I got Rcpp working on my windows machine by installing the Rtools bundle. It is not clearly to me how to get GSL installed so the RcppGSL will also work.

Friday, January 20, 2012

Wednesday, January 18, 2012

Package "rgdal" broke

The new version of "rgdal" package cannot be compiled on my system (both Ubuntu and Debian).

UPDATE: they fixed it by releasing a new version (0.7.8).

NetLogo

The NetLogo developers really want to get things right: today they released the 7th release candidate for the new version (v. 5)!

Tuesday, January 17, 2012

R is becoming increasingly popular

According to this, R is the 19th most popular language in the first month of 2012!

Thursday, January 12, 2012

Visual debugger and the debug mode of the autorun R console

The StatET team kept their promise and delivered the autorun R console with debug mode on. This, combined with the visual debugger, makes the StatET a very appealing cross-platform environment for working with R.

Sunday, January 08, 2012

Useful python libraries for social scientists

Here is a list of useful python libraries for social scientists.

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