Description Usage Arguments Examples
The function, fit_2D
, takes four arguments, func
, dat
, it
, op_v
and fits the 2D model described by the argument func
into the data described by the argument dat
. The parameter it
describes the number of iterations that the code generates before it decides to declare that the starting/intial values of the vector to be iterated, op_v
, is a bad starting point to search for a local minima within the given number of iterations, it
. In such cases the message solution did not converge
will be displayed. op_v
is a vector comprising the initial values/guess point from where the vector will iterate itself to look for a local minima. It must however be remembered that the function, fit_2D
, does not have predefined default values attached to its arguments and also that the function does not
under present circumstances support optimization algorithms with constraints
defined on them. This however is a work in progress and will be taken care of in future contexts.
1  fit_2D(func, dat, it, op_v)

func 
The argument 
dat 
The argument 
it 

op_v 
1 2 3 4 5 6 7 8 9 10 11 12  library(DataAnalyze1.0)
x<seq(10,10, by=0.02)
g<function(v){
y<v[1]*exp(1*(((xv[2])/(v[3]))^2))+2*v[1]*exp(1*(((xv[4])/(v[5]))^2))
return(y)
}
y<3*exp(1*(((x4)/(5))^2))+6*exp(1*(((x4.5)/(4))^2))
y_d<y+runif(length(x))
plot(x,y_d)
m<matrix(c(y_d,x), byrow = T, nrow = 2)
v<c(2.2,3.5,4.7,4.8,5)
fit_2D(func=g, dat=m, op_v = v, it=20000)

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