How to extract uncertainty from experimental data using MATLAB.?

Hi everyone, I have an experimental data A=54×1800. Now I need to extract the uncertainty from it. I do not know which function or code used for this purpose and how to do this. Any guidance will be highly appreciated.

[madhan ravi]

Upload the data and specify what aren't needed.

Answer 1

[madhan ravi]

I'm not really sure what datas you want but:

A = load('A.mat')

A.A(:,1) % this would give you the first column likewise you can extract rows and columns as in matrix.

[Safi ullah]

@ madhan ravi, The result obtained from

A = load('A.mat')

A.A(:,1) %

will be uncertainty??

[madhan ravi]

I'm not sure what uncertainty refer to . I just showed an example to extract data from a mat file.

[Safi ullah]

@ madhan ravi,is there any method which can give us uncertainty from data?

[madhan ravi]

According to what I surfed through the internet it means the tolerance is called uncertainty . It is all based on what criteria the data was saved. Would you care explaining how the data was saved?

[Safi ullah]

I used a radar data, in which from literature of that radar I just know if you pick/move any one data into matlab workspace then there different information of that particular data comes. In that info there is one matrix r_error=54×28; in this the first column is error, the other 28 col are zeros.

[madhan ravi]

Here I have attached your file in csv format as row vector and there aren't zeros whatsoever.

[Safi ullah]

Actually the data which attached is after using a software which gives me parameters. from the same data I am going to attached only one data then you move that in workspace there you will see 'r_error'. in this the first col shows the error.

[madhan ravi]

    A1 = load('16621201.mat')

    A1 = vpa(A1.r_error) 

    %used vpa here to make the numbers complete without the powers so that it is precise to analyse the values and to be frank was easier for me to analyse. 

    [m,n]=size(A1) 

    % as you mentioned eliminating the first col because it contains error

    A1=A1(:,2:end)

    %this is just to make sure the first column is eliminated, compare it with the previous matrix

    [m1,n1]=size(A1)

[madhan ravi]

Is that what you require if not say what is additionally required ?

[Safi ullah]

@ madhan ravi, I just checked your code. it works well. thank you so much for guidance

[madhan ravi]

My pleasure :)

Answer 2

[Safi ullah]

@ madhan ravi thanks for your response. I have attached the file. I have given the task to extract uncertainty from 'A' and they are not specify. I also do not know how to recognize uncertainty in this data. Will be good if you show me an example based on the data 'A' which i have attached. thanks

[madhan ravi]

If you do not know which are not certain in your data how I am supposed to know?

[Safi ullah]

@ madhan ravi, If possible then you just give me a rough example I just want to get idea how to extract the uncertainty from data