Generating numbers to replace missing values in a column vector

Hi

I have a column vector has 60 values placing in order from small to large numbers, however some of these values are missing (has Zero values) I want to generate some values to replace these zeros in the missing cells within the order of the other numbers (non missing numbers) in the vector.

For example:

my vector is A:

A= [0.58;	0;	0;	0;	1.06;	0;	0;	0;	0;	2.47;	0;	
    0;	0;	0;	5.16;	0;	0;	0;	0;	10.94;	0;	0;	0;	0;	22.25;	
    0;	0;	0;	0;	42.82;	0;	0;	0;	0;	66.60;	0;	0;	0;	0;	93.45;
    0;	0;	0;	0;	119.43;	0;	0;	0;	0;	183.43;	0;	0;	0;	0;	248.94;
    0;	0;	0;	0;	320.76];

So, the values to be generated for repalcing the zeros in cells A(1, 2:4) should be in order between the valuse 0.58 and 1.06, and the same for the other zeros.

Hopefully I have explained the question in a clear way, and thanks in advance for helping me.

Regards

Answer 1

[Walter Roberson]

A= [0.58;	0;	0;	0;	1.06;	0;	0;	0;	0;	2.47;	0;	
    0;	0;	0;	5.16;	0;	0;	0;	0;	10.94;	0;	0;	0;	0;	22.25;	
    0;	0;	0;	0;	42.82;	0;	0;	0;	0;	66.60;	0;	0;	0;	0;	93.45;
    0;	0;	0;	0;	119.43;	0;	0;	0;	0;	183.43;	0;	0;	0;	0;	248.94;
    0;	0;	0;	0;	320.76];

B = fillmissing(standardizeMissing(A, 0),'linear')

B = 60×1

0.5800 0.7000 0.8200 0.9400 1.0600 1.3420 1.6240 1.9060 2.1880 2.4700