How take value (column number) from one data set (1x15145 double) and find value corresponding to same row and column associated with another data set (1x4579 double)

I have a value with specific row and column number from one data set s (1x15145 double), and I want to extract value corresponding to same row column number from another data set Time (1x4579 double)

 Accepted Answer

Time(row_from_s, column_from_s)
??
Though with vectors you would normally only use one index.
Example:
[minval, minidx] = min(s);
if minidx > length(Time)
error('Time is too short to get the corresponding position of s');
end
t = Time(minidx);

4 Comments

the thing is that, instead of using row and column number for s can I use answer from previous step of coding? eg. A=findstr(s,[65531 65523]) %which is 415 (1st row and 415th column) now can I use A to find out what is the value of same coordinates in data Time? (instead of using coordinates directly)
Time(A)
Watch out for findstr() returning multiple values. And you really should switch to strfind(s, [65531 65523])
Actually I want multiple values and then process them all for further processing. I want multiple values from Time. Instead of using row and column numbers Time(row_from_s, column_from_s), can I use A?
The result of strfind() is a set of linear indices, not a set of rows and columns. You can use the linear indices to index the vector Time.
You would need to take more care if you were using 2D or multidimensional arrays of different sizes and needed matching row and column numbers, but when you use vectors (or arrays in which all of the dimensions were equal except perhaps the last dimension) then you do not need to worry about that, linear indices are fine. Just don't translate to row and column numbers if you have multiple values.

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