Hi, Not an expert R user, something of a novice - please be gentle with me!
I have a particular interest in generalised linear models (GLMs) and I'm experienced in fitting them using other bits of software. R can fit GLMs of course, using the glm() command. I have some large multivariate data sets I'd like to fit GLMs to, ideally using R. Two concerns though: Firstly, I'm told that R isn't especially fast at fitting GLMs, especially if the data files are too large to fit into RAM. Can anyone advise if there are alternatives to glm() around which might cope better. For example, I've heard that RevolutionR is available, and claims to fit GLMs faster in these cases. Might it be possible, alternatively, to write some very quick code using C (for example) and to get R to invoke this instead? Has anyone tried to do this? Secondly, I might like to create some kind of GUI so that I can have a nice interface for viewing data, specifying models, showing graphical model outputs, etc. Is there a preferred way to do this? The only GUI builder I know of is Shiny - http://www.rstudio.com/shiny/ - is this a good way to go? What alternatives might I consider? My IT/coding skills are limited. I'm hoping at some point to find an R expert to collaborate with, but in the mean time, a few pointers would be appreciated. Thanks! [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list 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.
