Or maybe that function should look more like
vol.exp<-function(x) {
V<-((coefficient1*(x)^exponent1)+(coefficient2*(x)^exponent2)+constant)
V
}
?
*Ben *
On Sat, Jul 30, 2011 at 10:06 AM, Benjamin Caldwell <btcaldw...@berkeley.edu
> wrote:
> Hello,
>
> I'm just trying to wrap my head around the syntax for creating loops,
> functions in R. I have an array of values from a .csv. Looks something like
>
> header<-c(species,coefficient1, exponent1, coefficient2, exponent2,
> constant)
>
> with a species name for the first column, and values for coefficient1,
> exponent1, coefficient2, exponent2, constant for each species.
>
> The values are parameters for an equation
>
> V<-((coefficient1*(x)^exponent1)+(coefficient2*(x)^exponent2)+constant)
>
> x<1:100
>
> I'd like to run the equation using the parameters for each species and the
> vector x to simulate what V would be for the range of values x, and then
> plot a graph of for each species.
>
> Would the way to do this be some sort of apply nested within a for loop?
> Code so far looks like
>
> vol<-read.csv("frame.csv")
>
> vol.exp<-function(coefficient1, exponent1, coefficient2, exponent2,
> constant,x) {
> V<-((coefficient1*(x)^exponent1)+(coefficient2*(x)^exponent2)+constant)
> V
> }
> x<1:100
>
> Thanks
>
> *Ben *
>
>
[[alternative HTML version deleted]]
______________________________________________
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.
