Hello R-Users I apologize in advance if my post is inappropriate. I read the entire posting guide and found nothing to say so, but you never know. I am seeking a knowledgable R-user that might be interested (for whatever reason) in helping out on what I hope would be considered a worthy project.
I am a research scientist, albeit one with little programming ability. I recently started a website which allows patients of different sorts to suggest research studies. Everything is completely free and anonymous. When several members express interest in a particular idea I attempt to build it so they can actually run through the study. Clearly there are limits but we currently we have 4 communities, chronic fatigue syndrome, fibromyalgia, multiple sclerosis and pernicious anaemia and there are several active studies in which people are submitting data every day. It's quite exciting and I think it has great potential to help people, particularly with disorders that have defied explanation. I'm currently using google spreadsheets/forms to create symptom trackers and interactive dashboards of the results which (most of the time) show group results by default but which can show individual results if an ID is entered. Unfortunately google spreadsheets is a little limited and I now require the use of more complicated stats such as linear mixed models. I know that I need to move to R, I understand the basics of running statistical tests with packages such as LMER, but I have no clue how to go about integrating such analyses into a website. I could certainly learn how, would love to, and ultimately will, but if someone was interested in joining me in this endeavour much more could be accomplished. If you're interested in knowing more let me know. Josh [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.