mean without stable step

Hi all! I need your help please!

my data are 3033 lines and 2005 columns. I want to find the mean for all columns separately but the step in lines is different. For example, i want to find the mean for the first 167 lines, then from 168 to 294, 295 to 428 and so on. what code can i write?

Thank you!

Answer 1

[Fani]

This works perfect!!!

Thank you very much for your time!!!

Answer 2

[Mikhail]

You can write a=mean(M,2) - this will find mean of matrix M along each column. And then take only values you need. For 3033*2005 this is ok.

[Mikhail]

Sorry, for columns use a=mean(M), or a=mean(M,1)

[Mikhail]

Otherwise you can do it with for loop

Answer 3

[Fani]

In the same column the step is different. For example, in the first column i want to find mean for the first 167 lines, then from 168 to 294,295 to 459 and so on. And this for all columns.

[Mikhail]

ok, so you create vector containing number of lines you want to take: a=[1:167,168...].

If you want to take into account only this lines for all columns, you can make new matrix: N=M(a,:). The new matrix contains only lines you need. And use mean.

Answer 4

[Fani]

if i do this, i take mean for all these lines. I would like to take mean for 1:167, other mean for lines 168:294 and so on.