How can I match the dimension from two vectors?

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Giulia Di Giorgio 2023-3-10

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https://ww2.mathworks.cn/matlabcentral/answers/1926190-how-can-i-match-the-dimension-from-two-vectors

评论： Adam Danz 2023-3-10

Hi, I'm coding an app where the user provides data to a UItable and calculus must be made from that. When I enter values like 1,2,3..6 the code works but it launches this "warning: converting X to matrix of double". If I enter up other data it doesn't work because "Arrays have incompatible sizes for this operation." and "Error using curvefit.attention.Error/throw X must be a matrix with one or two columns." I used "format g" but I don't how to set a size for the array.

global tabla
            tabla=app.UITable.Data;
            h=cell2mat(tabla(:,1));
            tP=cell2mat(tabla(:,2));
            tT=cell2mat(tabla(:,3));
            V=(pi*(dtr/2)^2.*h)/1000; %Volumen recolectado en funcion de la altura del tambor recolector (L)
            Q1=V./tT; %Caudal en funcion de los tiempos por acumulado (L/s)
            Q2=V./tP; %Caudal en funcion de los tiempos tomados de forma corrida (L/s)
            [f1,R]=fit(tT,Q1,'poly1'); %Ajuste polinomico para ecuacion de la recta
            Rcuadrado=num2str(R.rsquare); %Regresion lineal de la data obtenida
            m1=f1.p1; b1=f1.p2; %donde p1 es pendiente y p2 es punto de corte
            fit1=m1.*tT+b1
            [f2,R]=fit(tP,Q2,'poly1');
            Rcuadrado2=num2str(R.rsquare);
            m2=f2.p1; b2=f2.p2; 
            fit2=m2.*tP+b2

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Giulia Di Giorgio 2023-3-10

of course, I want to try with this data:

on the "h"column: 10.00 , 20.00, 30.00, 40.00

on the "Tiempos P. (s)" column=51.91 54.58 59.58 61.80

on the "Tiempos T. (s)" column=51.91 106.49 166.07 227.87

I'll attatch a screenshot so you can see how the table looks like

Adam Danz 2023-3-10

在 MATLAB Online 中打开

Assuming dtr is a 1x1 scalar, h, tP, and tT must be column vectors, otherwise you will get the error you see: X must be a matrix with one or two columns.

I'm curious why you need cell2mat when indexing from a table. It's a bit of a red flag.

Confirm that h, tP, and tT are column vectors and doubles using these lines

assert(isa(h,'double') && isvector(h) && size(h,2)==1, 'h is not a double vector')
assert(isa(tP,'double') && isvector(tP) && size(tP,2)==1, 'tP is not a double vector')
assert(isa(tT,'double') && isvector(tT) && size(tT,2)==1, 'tT is not a double vector')