Introduction
I have been looking into the feasibility of using the R statistical package for adding better statisitcal models and analysis for our software . R is extremely powerful. Almost any statistical method is represented in it. The question I had is: How do I use R as a backend tool for our report generating software written primarily in VB.Net, SQL, and HTML?
Resulting Research
What I found out was that R plays nice with just about any technology available. There are tools for using R with a variety of interfaces written in on other languages where you can go back and forth from and to R:
In my search, I found that in order to truly embed R’s functionality and features in a windows application using Microsoft’s DCOM technology will get me the farthest fastest. It gives us as cloase to an API for R as possible
C# Example - http://www.codeproject.com/KB/cs/RtoCSharp.aspx
A guide to importing and exporting data to and from R. - http://cran.r-project.org/doc/manuals/R-data.html
How to import Excel data into a statistical application package, the easy way - http://lane.stanford.edu/howto/index.html?id=3672
Import Excel .xls files into R - http://www.lamnk.com/blog/econometrics/import-excel-xls-files-into-r/
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