Solving "Subscripted assignment dimension mismatch" error message.

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mmenvo 2012-10-30

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https://ww2.mathworks.cn/matlabcentral/answers/52331-solving-subscripted-assignment-dimension-mismatch-error-message

Dear all,

In NN toolbox matlab, I want to use Input data which is a 165238 × 9 matrix, means 9 columns and 165238 rows of data as Input. Matlab shows this error "Subscripted assignment dimension mismatch" when I insert the "imaginary" variable at the 8 th colum.

Here is the code I used:

-----------------------------

EX_355 = xlsread('filename.xlsx','B2:B165238');

EX_532 = xlsread('filename.xlsx','C2:C165238');

BA_355 = xlsread('filename.xlsx','D2:D165238');

BA_532 = xlsread('filename.xlsx','E2:E165238');

BA_1064 = xlsread('filename.xlsx','F2:F165238');

Reff = xlsread('filename.xlsx','G2:G165238');

nm = xlsread('filename.xlsx','H2:H165238');

real = xlsread('filename.xlsx','I2:I165238');

imaginary = xlsread('filename.xlsx','J2:J165238');

mode_width = xlsread('filename.xlsx','K2:K165238');

Input(1,:) = EX_355;

Input(2,:) = EX_532;

Input(3,:) = BA_355;

Input(4,:) = BA_532;

Input(5,:) = BA_1064;

Target(1,:) = Reff;

Input(6,:) = nm;

Input(7,:) = real;

Input(8,:) = imaginary;

Input(9,:) = mode_width;

--------------------------------------------------------------------

after reading Input(8,:) = imaginary; matlab shows the error message.

I have a snapshot of the data, but do not know how to attach it with this Question here.

How to solve this problem? I could not solve it so far by taking matlab error message solutions help. I hope someone will help me in this regard. Thanks

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Jonathan Epperl 2012-10-31

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The data types aren't the issue, the dimensions of your variables are. So why don't you just do a clear all, run the lines of code up to and including mode_width = xlsread('filename.xlsx','K2:K165238');, then run

whos

and post the output here?

Jan 2012-10-31

@Jonathan: I do not see any reason to remove all loaded function files from the memory and delete all persistent data as well as globals. The re-initialization an the new parsing of all used functions waste a lot of time. Therefore I strongly recommend not not use clear all but clear the concerned variables explicitly, or at least only variables: clear variables.

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