How to select certain columns of a matrix only when the values in certain rows showing the the double of the value in a particular row of a column?
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    Kim Arnold
 am 14 Aug. 2020
  
    
    
    
    
    Bearbeitet: Shae Morgan
      
 am 14 Aug. 2020
            Hi everybody!
I have a Matrix with 5 rows and 2300 columns M(5,2300).
0.2	0.3	0.4	2     ...
3	0.5	1.9	2.5   ...
2	0.7	0.2	3     ...
1	1	1	1     ...
0.5	0.1	1.5	3.1   ...
looks like above. The numbers you see are ratios because all the values of a particular column were divided by the value in the 4th row (which is now 1). I intend to just keep the columns for future analysis when at least one value of the other rows in a column (row1:3 and row5 values) are >=2, meaning that they should be at least the double of the value in the 4th row. As an output from the columns above it should give me an index like [1,0,0,1]. 
Could you probably suggest a nice solution? I'm thankful for every help. 
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  Bruno Luong
      
      
 am 14 Aug. 2020
        
      Bearbeitet: Bruno Luong
      
      
 am 14 Aug. 2020
  
      Mkeep = M(:,any(M>=2,1))
4 Kommentare
  Bruno Luong
      
      
 am 14 Aug. 2020
				 shouldn't call |1 0 0 1] an indexes, they form a logical array.
any(M>=2,1)
give you that.
  Shae Morgan
      
 am 14 Aug. 2020
        
      Bearbeitet: Shae Morgan
      
 am 14 Aug. 2020
  
      do this in two steps: 1) find the indices where the values > 2 and then 2) sum the columns - if all rows 1-3 and 5 are less than 2, then this sum will be 0. If one of them has a value >=2, then the sum will be >0.
idx= M>=2;
out= sum(idx)>0
out will give you an index of 0's and 1's for each column. if 1, then it's something you should analyze later (i.e., has a value 2x row 4)
2 Kommentare
  Shae Morgan
      
 am 14 Aug. 2020
				
      Bearbeitet: Shae Morgan
      
 am 14 Aug. 2020
  
			single line answer by combining the variables :) Thanks for the consideration! Should work for KSSV's answer too:
out= sum(M>=2)>0 %my implementation, single line
id = find(sum(M>=2)) ; %KSSV's solution, single line
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