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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