Hi All,

Im looking for some help passing function arguments and referencing them,
I've made a replica, less complicated function to show my problem, and how
i've made a work around for this. However i suspect there is a _FAR_ better
way of doing this.

If i do:
BuildDecayModel <- function(x = "this", y = "that", data = model.data) {
  model <- nls(y ~ SSexp(x, y0, b), data = model.data)
  return(model)
}
...

"Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) :
  0 (non-NA) cases"

This function returns an error because the args are passed as "this" and
"that" to the model, and so fails (correct?)

If  i do the following:
BuildDecayModel <- function(x = "total.reach", y = "lift", data =
model.data) {
  x <- data[[x]]
  y <- data[[y]]
  model.data <- as.data.frame(cbind(x,y))
  model <- nls(y ~ SSexp(x, y0, b), data = model.data)
  return(model)
}

This works for me, but it seems that i'm missing a trick with just
manipulating the args rather than making an entire new data.frame to work
off,

Can anyone offer some advice?

Thanks in advance

Mike

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