[Rd] Converting expression to a function
Hadley Wickham
hadley at rice.edu
Mon Mar 19 17:53:05 CET 2012
Hi John,
Here's a somewhat streamlined version of the code:
Form2resfun <- function(f, params) {
stopifnot(inherits(f, "formula"), length(f) == 3)
# Create function body
body <- substitute(
crossprod(rhs - lhs), list(lhs = f[[2]], rhs = f[[3]])
)
# Create argument list
free_params <- setdiff(all.vars(f), names(params))
missing_args <- setNames(rep(list(bquote()), length(free_params)),
free_params)
args <- as.pairlist(c(missing_args, params))
eval(call("function", args, body))
}
# a test
tfn <- Form2resfun(y ~ b1 / (1 + b2 * exp(-1 * b3 * t)),
c(b1 = 1, b2 = 1, b3 = 1))
tfn
y <- c(5.308, 7.24, 9.638, 12.866, 17.069, 23.192, 31.443,
38.558, 50.156, 62.948, 75.995, 91.972)
tfn(y, seq_along(y))
It basically works by generating the call to "function", so you get
back a regular function (although I haven't made sure it has the
environment that you might expect). A couple of tricks:
* bquote() generates a call that represents a missing value
* using as.pairlist to make sure that the arugments argument to
function is a pairlist - as far as I know this is the only case where
you need to care about the difference between lists and pairlists
You may also want to chat with Randy Pruim, who seems to be working on
similar stuff.
Hadley
On Sun, Mar 18, 2012 at 12:01 PM, John C Nash <nashjc at uottawa.ca> wrote:
> Previously, I've posted queries about this, and thanks to postings and messages in
> response have recently had some success, to the extent that there is now a package called
> nlmrt on the R-forge project https://r-forge.r-project.org/R/?group_id=395 for solving
> nonlinear least squares problems that include small or zero residual problems via a
> Marquardt method using a call that mirrors the nls() function. nls() specifically warns
> against zero residual problems.
>
> However, I would still like to be able to convert expressions with example vectors of
> parameters to functions that optim() and related functions can use. The code below gets
> "almost" there, but
>
> 1) Can the code be improved / cleaned up?
>
> 2) Can the eval() of the output of the Form2resfun be avoided?
>
> 3) Can the extraction of the parameter names be embedded in the function rather than put
> separately?
>
> Off-list responses are likely best at this stage, while the tedious details are sorted
> out. I will post a summary in a couple of weeks of the results. Collaborations re: this
> and the larger package welcome, as there is considerable testing and tuning to do, but
> preliminary experience is encouraging.
>
> John Nash
>
>
> # --------- code block -----------
> rm(list=ls()) # clear workspace
> Form2resfun <- function(f, p ) {
> cat("In Form2resfun\n")
> xx <- all.vars(f)
> fp <- match(names(p), xx) # Problem in matching the names of params
> xx2 <- c(xx[fp], xx[-fp])
> ff <- vector("list", length(xx2))
> names(ff) <- xx2
> sf<-as.character(f)
> if ((length(sf)!=3) && (sf[1]!="~")) stop("Bad model formula expression")
> lhs<-sf[2] # NOTE ORDER formula with ~ puts ~, lhs, rhs
> rhs<-sf[3]
> # And build the residual at the parameters
> resexp<-paste(rhs,"-",lhs, collapse=" ")
> fnexp<-paste("crossprod(",resexp,")", sep="")
> ff[[length(ff) + 1]] <- parse(text=fnexp)
> # want crossprod(resexp)
> myfn<-as.function(ff, parent.frame())
> }
> # a test
> y<-c(5.308, 7.24, 9.638, 12.866, 17.069, 23.192, 31.443,
> 38.558, 50.156, 62.948, 75.995, 91.972) # for testing
> t<-1:length(y) # for testing
> f<- y ~ b1/(1+b2*exp(-1*b3*t))
> p<-c(b1=1, b2=1, b3=1)
> b<-p
> npar<-length(b)
> for (i in 1:npar){
> bbit<-paste(names(b)[[i]],"<-",b[[i]])
> eval(parse(text=bbit))
> }
> tfn<-Form2resfun(f, b)
> ans<-eval(tfn(t=t,y=y, b))
> print(ans)
> # --------- end code block -----------
>
> ______________________________________________
> R-devel at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
--
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
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