Hello everyone,
I have been having trouble fitting a set of meta data (attached called IndiMSD) to this custom equation, doing fit to a custom equation and output parameters of the equation.
The first row of data points of x and y is zero, it will output Inf of NaN when do the fit. So I disgard all in x and y matrix.
now the x and y are below:
x_input = readmatrix(‘IndiMSD.xlsx’);
x = x_input(2:end,:); % first zero rows are disgarded, now x is 96 by 112, instead of 97 by 112
y = 15:15:1440;% first zero data point is disgarded, now y is 96 by 1
I want to fit each paif of column of x with y as above. For example, x(:,1) will be fitted with y, output its own S, P value with goodness of fit; , x(:,2) fits with y, output its own S, P value with goodness of fit, and so on until the last column. All fitted results of S, P and goodness of fit will be stored in separate matrice.
The fitted equation is
y = 2*((S^2)*(P^2)) * ((x./P) – 1 + exp(-(x./P)));
I really appreciate it if anyone has some ideas of how to do it.Hello everyone,
I have been having trouble fitting a set of meta data (attached called IndiMSD) to this custom equation, doing fit to a custom equation and output parameters of the equation.
The first row of data points of x and y is zero, it will output Inf of NaN when do the fit. So I disgard all in x and y matrix.
now the x and y are below:
x_input = readmatrix(‘IndiMSD.xlsx’);
x = x_input(2:end,:); % first zero rows are disgarded, now x is 96 by 112, instead of 97 by 112
y = 15:15:1440;% first zero data point is disgarded, now y is 96 by 1
I want to fit each paif of column of x with y as above. For example, x(:,1) will be fitted with y, output its own S, P value with goodness of fit; , x(:,2) fits with y, output its own S, P value with goodness of fit, and so on until the last column. All fitted results of S, P and goodness of fit will be stored in separate matrice.
The fitted equation is
y = 2*((S^2)*(P^2)) * ((x./P) – 1 + exp(-(x./P)));
I really appreciate it if anyone has some ideas of how to do it. Hello everyone,
I have been having trouble fitting a set of meta data (attached called IndiMSD) to this custom equation, doing fit to a custom equation and output parameters of the equation.
The first row of data points of x and y is zero, it will output Inf of NaN when do the fit. So I disgard all in x and y matrix.
now the x and y are below:
x_input = readmatrix(‘IndiMSD.xlsx’);
x = x_input(2:end,:); % first zero rows are disgarded, now x is 96 by 112, instead of 97 by 112
y = 15:15:1440;% first zero data point is disgarded, now y is 96 by 1
I want to fit each paif of column of x with y as above. For example, x(:,1) will be fitted with y, output its own S, P value with goodness of fit; , x(:,2) fits with y, output its own S, P value with goodness of fit, and so on until the last column. All fitted results of S, P and goodness of fit will be stored in separate matrice.
The fitted equation is
y = 2*((S^2)*(P^2)) * ((x./P) – 1 + exp(-(x./P)));
I really appreciate it if anyone has some ideas of how to do it. nonlinear, curve fitting MATLAB Answers — New Questions

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