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Highlights from
Making Data Analytics for the Mining Industry Simple with MATLAB

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Making Data Analytics for the Mining Industry Simple with MATLAB

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14 Feb 2013 (Updated )

Highlights automatically importing assay text data, perform basic statistics & visualization

createFit(z1, c1)
function [fitresult, gof] = createFit(z1, c1)
%CREATEFIT(Z1,C1)
%  Create a fit.
%
%  Data for 'untitled fit 1' fit:
%      X Input : z1
%      Y Output: c1
%  Output:
%      fitresult : a fit object representing the fit.
%      gof : structure with goodness-of fit info.
%
%  See also FIT, CFIT, SFIT.

%  Auto-generated by MATLAB on 30-Jan-2013 10:59:24
% David Willingham February 2013
% Copyright 2013 The MathWorks, Inc

%% Fit: 'untitled fit 1'.
[xData, yData] = prepareCurveData( z1, c1 );

% Set up fittype and options.
ft = fittype( 'splineinterp' );
opts = fitoptions( ft );
opts.Normalize = 'on';

% Fit model to data.
[fitresult, gof] = fit( xData, yData, ft, opts );

% Plot fit with data.
% figure( 'Name', 'untitled fit 1' );
h = plot( fitresult, xData, yData );
legend( h, 'Original Cu Perc', 'Interpolated Cu Perc', 'Location', 'NorthEast' );
% Label axes
xlabel( 'Elevation' );
ylabel( 'Cu Perc' );
grid on


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