search for: rzope

Frank, Both RZope and Rho solve this problem. RZope (http://www.analytics.washington.edu/statcomp/projects/rzope/)solves it by using *nix's fork command, which takes as much time as a memcopy. Rho(http://rho-project.org) solves it by maintaining a pool of idling R processes, which it maintains activ...

...haracterize them wrongly. They are all tailored to slightly different purposes. CGI/(transaction based) - CGIWithR, RWeb & RCGI(unmaintained) TCP/IP Servers(sessioned)- RServe -RServe has a homegrown protocol for large datasets Web/HTTP Servers(sessioned)- RZope/RStatServer -A Zope/Python/RPython facility for executing scripts/application development Rho -A servlet application/application development suite to selectively expose R code & manage datasets/projects There are three or so different things to consider with these:...

...heir alienation from routine data analysis. I am a psychotherapist and psychotherapy researcher first but my stats is competent and I've pretty much fixed on R for all my stats work now (bye SPSS et al.!) and love it. However, to use R to do this well clearly means getting my head around RZope/RSOAP or Rstatserver or something like that as just using CGIwithR, though brilliant, is slow and inefficient. I have discussed this with our local university (Nottingham) who are R supportive but have no cgi-bin expertise so I'm asking more widely now. Our/my history is of getting good p...

Hi R-helpers Has anyone had any experience doing CGI or Servlets or using an httpd server in R? Context: we are interested in running dynamic demographic calculations on the internet (life tables, and such) in response to form submissions. I might do simple cgi to get started, but loading in data each time seems like it would be quite, quite slow. I have looked at Rserv, but I am most

Dear R users; I am using R for a project. I have some PHP forms that pass parameters to R for calculations, and publish the result in HTML format by CGIwithR. I'm using a Linux machine and every things work perfectly. However, it is too slow, it takes 5 to 10 seconds to run, and even if I start R from the Shell it takes the same amount of time, which is probably due to installing packages.