Bruce, Although R:Base is not a statistical application, all the programming tools to develop statistical applications are available; it really depends on how complex your analysis is and how much programming you are willing to do. Basic statistics and simple regressions are fairly easy to program, and I have in the past helped other members do just that; however, once you get into more involved procedures, the amount of programming increases dramatically. There are lots of programming examples available but you will have to convert them from their original programming language; sometimes this is fairly straight forward and other time difficult because constructs (or functions) available in other languages are not available or do not directly translate to the R:Base programming language. If you will be using only a couple of procedures that you can easily program, I would say use R:Base; however, if you are using advance procedures and have requirements that change over time, then you might consider connecting to a true statistical package and then all you have to do is design the data transfer procedure. You can import your graphs as static JPG files or even as animated vector files (SWF) that display values as you click on different parts of the graph (very cool).
Javier, Javier Valencia, PE O: 913-829-0888 H: 913-397-9605 C: 913-915-3137 -----Original Message----- From: [email protected] [mailto:[email protected]] On Behalf Of Bruce A. Chitiea Sent: Tuesday, May 28, 2013 11:24 AM To: RBASE-L Mailing List Subject: [RBASE-L] - Statistical Application All: I'm just starting to design a water-related statistical application which crunches input from two or more sample spaces. The goal is to draw statistically valid inferences about water consumption trends and the effectiveness of applied conservation measures from experience across multiple properties/environments. R:Base is the primary data-collection and reporting vehicle. R:Charts will factor heavily. Would I be best served by developing the statistics ENGINE within R:Base itself, or by exporting R:Base formatted data to a dedicated statistics package for crunching? Thanks Bruce Chitiea SafeSectors, Inc. eCondoMetrics
