How to Calculate linear trend for each column of a matrix

18 visualizaciones (últimos 30 días)
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

Respuesta aceptada

Star Strider
Star Strider el 23 de Nov. de 2018
Try this:
[D,S] = xlsread('test.xlsx');
B = [(1:size(D,1))', ones(size(D,1),1)] \ D
producing:
B =
-0.7307 -0.6702 -0.5743 -0.5264 -0.3016
38.1515 33.7212 35.0423 35.3009 35.6209
The first row are the slopes and the second row are the intercepts. The columns are for ‘a’ through ‘e’ respectively.

Más respuestas (1)

Luna
Luna el 23 de Nov. de 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 comentarios
Shakir Hussain
Shakir Hussain el 23 de Nov. de 2018
Editada: Shakir Hussain el 23 de Nov. de 2018
dear luna, thanks for your response
yes you rightly assumed it. Could we deal it a matlab matrix without having column names? and have R and P value of all Y columns.
how do you think about this method https://www.mathworks.com/matlabcentral/fileexchange/46363-trend?
Luna
Luna el 23 de Nov. de 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.

Iniciar sesión para comentar.

Categorías

Más información sobre Descriptive Statistics en Help Center y File Exchange.

Etiquetas

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by