How to convert Matlab functions to Rstudio?

Question

tempo=Seq;   
conc=NCelTotais;
coef_ini = [MaxCT 1 2]; 
coef=[];
OPTIONS = optimset('MaxIter',1000,'TolFun',0.001,'TolX',0.01);
coef = fminsearch(@funcaoerro_sigmoide,coef_ini,OPTIONS);
A=coef(1);
B=coef(2);
C=coef(3);
y = A*sigmf(tempo, [B C]);
fNCelTotais=y;


where:
**funcaoerro_sigmoide**

function erro = funcao_sigmoide(coef);

global tempo conc;

A=coef(1);
B=coef(2);
C=coef(3);

y = A*sigmf(tempo, [B C]);
erro1 = (conc-y).^2;

erro=sum(erro1);

Answer 1

TL;DR:

You have to translate by seeing what a code does and implementing in the other language.

More details:

In fact, your question is not very clear, but assuming you need to translate the function you have put up to r, There’s not much to do. Maybe there is someone who has something similar in R, but still you need to describe what the function does (it’s the fit error of a function sigmoid).

There is a package CRAN DE R/MATLAB, but it’s just an interface to Matlab, which needs to be installed on the system. I don’t know if it’s compatible with Rstudio.

Answer 2

I’ll try to explain it better! I have a set of experimental data that needs to be adjusted by a theoretical curve (e.g. sigmoid) through least squares. In Matlab you have the main program and its corresponding function that calculates by least squares. programa principal 'tempo=Seq; conc=NCelTotais; coef_ini = [MaxCT 1 2]; coef=[]; OPTIONS = optimset('MaxIter',1000,'TolFun',0.001,'TolX',0.01); coef = fminsearch(@funcaoerro_sigmoide,coef_ini,OPTIONS); A=coef(1); B=coef(2); C=coef(3); y = A*sigmf(tempo, [B C]); fNCelTotais=y;' subroutine described as function