Hi everyone, Thank you for the help, I apologize for not "providing commented, minimal, self-contained, reproducible code." I was looking for some pointers about how to do this in general, but it would have been helpful for me to post a specific example. Anyway, after the feedback this is the solution I have settled on for future reference:
## Simple Linear Model Example ## X <- c(1,2,3,4,5) user.formula <- Y ~ a + b*X param.values <- list(a=1.5, b=3, x=X) eval(user.formula[[3]], envir = param.values) #Output# [1] 4.5 7.5 10.5 13.5 16.5 ## Something a little more complicated ## X <- c(.01,.1,1,10,25,50,100) user.formula <- Y ~ Top - (Top-Bot)/(1+(X/b)^W) param.values <- list(Top=100, Bot=1, b=.05, W=2, x=X) eval(user.formula[[3]], envir = param.values) #Output# [1] 1.039584 4.807692 80.200000 99.753117 99.960416 99.990101 99.997525 Thanks again. -- View this message in context: http://r.789695.n4.nabble.com/Model-Formulae-Evaluation-tp3610328p3611986.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
