Hello, This is in response to a post from a couple of years back regarding Kaiser-Meyer-Olkin Measures of Sampling Adequacy. (http://tolstoy.newcastle.edu.au/R/help/05/12/17233.html) As it turns out, last year Trujillo-Ortiz et al. at the Universidad Autonoma de Baja California wrote and posted a script for MATLAB that does the job. Re: KMO sampling adequacy and SPSS -- partial solution
Create a user friendly web interface for an R script Rwui running on new server, Java 1.6 and Tomcat 6, or later, now required to run webapps created by Rwui. Copy of Rwui, with older Java and Tomcat requirements for running the webapps it creates, still available at http://xenakis.mrc-bsu.cam.ac.uk/Rwui, but please note old version has not been updated with recent additions (on 20/06/12). Window's users please note points 13.1 and 15.1 in the Help file. A user friendly web interface for an R script means your script can be used by anyone, even if they have no knowledge of R. Rwui creates web applications for you for running R scripts. All the code is generated automatically so that a fully functional web interface for an R script can be downloaded and up and running in a matter of minutes.
Listing and Installing Packages in R "From grant administration to research computing, our services support your needs." Alex Storer, Research Technology Consultant IQSS serves as one-stop shopping for a full range of research support, including administrative, planning, training, and technical support. The User Services team is always ready help you with your technology in your office or on the go. If you need a fresh, professional perspective on how best to move your research project ahead, IQSS Research Technology Consulting may have the answer on the technical side or IQSS Sponsored Research Administrators may have the answer from a funding perspective. Or Consult the IQSS Events calendar for all upcoming training on IQSS products and popular industry software.
R is an elegant and comprehensive statistical and graphical programming language. Unfortunately, it can also have a steep learning curve. I created this website for both current R users, and experienced users of other statistical packages (e.g., SAS, SPSS, Stata) who would like to transition to R.