How to exclude a certain value from a range?

Suppose a variable has upper limit and lower limit of 1 and 54 [1 54] and I and to exclude one value say 30 from it. How to it?

For example:

a = [0 576;0 100; 0 140;0 100;0 550;0 100;0 410];
b = [0.95 1.1;0.95 1.1;0.95 1.1;0.95 1.1;0.95 1.1;0.95 1.1;0.95 1.1];
c = [0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1;0.9 1.1]; 
d = [0 20;0 20;0 20];
e = [2 7; 2 7; 2 7];

        limit = [a;b;c;d;e]';
        

In this case from e, I want to exclude the value 6.

Answer 1

[Image Analyst]

It doesn't look like your "e" has a value of 6, but if it did, you'd do this

e = e(e ~= 6); % e must be a vector.

If e is a matrix, then you can't remove isolated elements since a matrix must remain rectangular. You can however set the location of 6's to nan:

e(e == 6) = nan; % e is a matrix

To learn other fundamental concepts, invest 2 hours of your time here:

MATLAB Academy - Free 2 hour training

Answer 2

[Walter Roberson]

standardizeMissing

e = 1:9

e = 1x9

1 2 3 4 5 6 7 8 9

<mw-icon class=""></mw-icon>

<mw-icon class=""></mw-icon>

e = standardizeMissing(e, 6)

e = 1x9

1 2 3 4 5 NaN 7 8 9

<mw-icon class=""></mw-icon>

<mw-icon class=""></mw-icon>

[Image Analyst]

Cool - I didn't know about that function. Kind of a weird name for it though.

[Walter Roberson]

The name kind of makes sense when you understand that the purpose of the function is to take data that has non-standard "missing" data markers, and to standardize the missing data to NaN