|Think about Loose Coupling|
I wanted to share with you an article I found in the Journal of Statistical Software. The article is titled Using Perl for Statistics: Data Processing and Statistical Computing and was written by Giovanni Baiocchi. In this 75- page article, the author provides a nice introduction to Perl and describes the use of Perl for Statistical Computing. There is also a section on The Perl Data Language (PDL). Here is the abstract of the article:
“In this paper we show how Perl, an expressive and extensible high-level programming language, with network and object-oriented programming support, can be used in processing data for statistics and statistical computing. The paper is organized in two parts. In Part I, we introduce the Perl programming language, with particular emphasis on the features that distinguish it from conventional languages. Then, using practical examples, we demonstrate how Perl’s distinguishing features make it particularly well suited to perform labor intensive and sophisticated tasks ranging from the preparation of data to the writing of statistical reports. In Part II we show how Perl can be extended to perform statistical computations using modules and by “embedding” specialized statistical applications. We provide example on how Perl can be used to do simple statistical analyses, perform complex statistical computations involving matrix algebra and numerical optimization, and make statistical computations more easily reproducible. We also investigate the numerical and statistical reliability of various Perl statistical modules. Important computing issues such as ease of use, speed of calculation, and efficient memory usage, are also considered.”
Fixed typo (s/Perl Programming Language/Perl Data Language/), as pointed out by Jenda.
In reply to Recommended journal article on the use of Perl in statistics by lin0