Hello,
I am trying to figure out how to use optimize() with array variables
as inputs. I have a for loop in the function definition:
SS <- function(int,slo,x,y){
for(i in 1:length(x)) ((int+slo*x[i])-y[i])^2->squares[i]
sum(squares)->>sum_squares
output_txt = c ("The sum of squares is", sum_squares)
print(output_txt, quote=FALSE)}
Even assuming I make x and y single-integer variables, for example:
optimize(SS, c(0,1), tol = 0.0001, x=1, y=1, slo=1)
I get the error:
Error in optimize(SS, c(0, 1), tol = 1e-04, x = 1, y = 1, slo = 1) :
invalid function value in 'optimize'
Not sure what that means. This also happens when x and y are defined
as arrays. Does optimize require me to input values for all variables
that are not being optimized (i.e. for n-1 of the inputs)? Why am I
getting an error.
I am new to R and under pressure to get some calculations done for my
work. I'd appreciate an answer to the specific question - and I fully
understand that I need to read up on R basics in more depth, which I
am doing as best I can while trying to get this work done. Thanks!
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