Hi. I'm working in a project about web-users behaviour analysis. In a few words, it consists on: - log-files recopilation and pre-analysis - basic stadistics extraction (pages most visited, session lengths, etc.) and on-line report generation in a web-viewable format - more advanced analysis for web-users characterization The purpose of my project is implementing my own data analysis, so I don't want to use commercial closed log-analysis tools; I need a tool for doing all this work: basically data analysis and filtering; and on-line web-reports generation. I don't know R language AT ALL, so do you think it would be a good choice? What other related packages would I need? Do you know other Open Source alternatives? Thanks a lot and please excuse my poor English :) PS: I'm not subscribed to the mailing list, so please reply me to jsanchezs at sanostra.es -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Is R a good choice for this?
2 messages · Jordi Sánchez Sánchez, Ott Toomet
Hi, | From: =?iso-8859-1?Q?Jordi_S=E1nchez_S=E1nchez?= <jsanchezs at sanostra.es> | Date: Thu, 21 Nov 2002 12:09:23 +0100 | | Hi. | I'm working in a project about web-users behaviour analysis. In a few | words, it consists on: | | - log-files recopilation and pre-analysis | - basic stadistics extraction (pages most visited, session lengths, etc.) | and on-line report generation in a web-viewable format | - more advanced analysis for web-users characterization I would recommend perl (or rexx) for the first task. R is basically a vector-oriented programming language with its text-file analysis and parsing possibilities, and a large number of statistical functions. You can definitely do everything with text files in R too, but it is perhaps faster and more straightforward in perl. If you already have the data in a easily readable form (ascii tables, xml), then it is easy to continue with statistics with R. I am not familiar with statistical functions in perl but I am sure they lay far behind from those in R. So, I guess you should use perl at least for the first step, and depending on the complexity of the ,,more advanced analysis'' either continue with it or switch to R at the second step. BTW, R is using perl heavily for installation and package management. Perhaps it helps. Ott -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._