How to Calculate linear trend for each column of a matrix
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Can we calculate the linear trend of each column of a matrix without drawing any line,
For example I want to calculate the linear trend for the column a,b,c,d,e of the attached data
Thank you for any tips or help
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Luna
am 23 Nov. 2018
Hi,
I think you can use polyfit simply for this problem.
Here is an example code. You can apply it for the other columns aswell.
[num,txt,raw] = xlsread('test.xlsx');
columnNames = txt(1,:);
columnNames(1) = [];
for i = 1:numel(columnNames)
colData.(columnNames{i}) = num(:,i);
end
x = 1:12;
linearCoefficients = polyfit(x,colData.a',1); % First degree linear fit
yFit = polyval(linearCoefficients, x);
% Apply it for colData.b and c .. so on.
%% To see data and line
figure;
plot(x,colData.a','bo');
hold on;
plot(x,yFit,'-r');
3 Kommentare
Luna
am 23 Nov. 2018
Btw, I assumed your x data from 1 to 12. You can choose any other column as reference.
Shakir Hussain
am 23 Nov. 2018
Bearbeitet: Shakir Hussain
am 23 Nov. 2018
Luna
am 23 Nov. 2018
Ah, that columnNames I just only used to extract the xls file easily.
You can always use below xlsread function outputs as you wish.
num gives you the only numerical matrix, txt only gives you the non-numeric text values, raw is the whole data as a cell array.
just get num and take each column of it one by one.
[num,txt,raw] = xlsread('test.xlsx')
R = num(:,1) % first column
P = num(:,2) % second colum, etc...
According to that function in FileExchange, I haven't run it. You can try that also and compare the results with polyfit.
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