How can I calculate the average deviation for two values that are in two separate variables files?

I want to calculate the average deviation flow rate per day. The data value is in one variable and the value in the model is in another variable

Answer 1

[Pranavkumar Mallela]

Hi Francisca,

As per my understanding you want to access a variable in one file that is defined in another. To do this, you can output your variable in one file. Then, access it from the second file by calling a function. To elaborate:

In file 1, where the variable is defined, use the following code:

function myVar = data()
    myVar = 100;
end

In file 2, where you want to use the variable, use the following code:

function myFunc()
    myVarFromFile1 = data(); % myVarFromFile1 takes the value defined in file 1
end

Hope this helps! Thanks!

[Francisca]

Hi,

Thanks for the help but I'm not sure if I fully understand.

I want to access two different colums in two different variables and calculate the deviation per row (the row is the same in the two, is the time).

How can I do that?

[Pranavkumar Mallela]

Hey, thanks for clarifying that.

I understand that you want to calculate the average deviation per row for two columns which are in two different variables.

You can access the columns in question using array indexing. The code is as follows:

col1 = myVar1(:, i) % gives the ith column of myVar1
col2 = myVar2(:, j) % gives the jth column of myVar2

Then you can compute deviation using the 'mad' function. Code is as follows;

myMat = [col1; col2]; % concatenate the 2 columns
mad(myMat); % compute mean absolute deviation

This will return a row vector containing the mean absolute deviation of each column of 'myMat'.

For more information regarding the 'mad' function, please refer the following documentation: https://www.mathworks.com/help/stats/mad.html

Hope this answers your question. If not, sending data relevant to the question will help me answer better. Thanks!

[Francisca]

Thanks for the information and all the help.

It worked!

[Pranavkumar Mallela]

That's great to hear. If the answer was helpful, please do consider accepting it. Thanks!