Select rows of different vector that matches a specific condition

Hello, I have different matrices with different values that were estimated separately from a root matrix (acceleration signal). All the matrices has the similar length for example I will assume that I have three matrices (it may be more).

A=[0.25; 0.30; 0.20; 1.5; 1.3; ..... n]

B=[1; 1.30; 2.0; 3.5; 4.0; ..... n]

C=[-3; 0.25; 0.85; 1.2; -0.70; ..... n]

A new matrix is generated based on the condition that each row meets. For example the condition for each matrices may be the following:

A=A>1.2;

B=B>2.0;

C=C<-0.6

the result will be the following matrix

C=[5, 1.3, 4.0, -0.70] or C=[5], where 5 is the number of row that meets the condition. This will help me to identify the value of the acceleration signal (root matrix where A, B and C were derived) that is not accurate.

Thank you for your help.

Answer 1

[Cris LaPierre]

A=[0.25; 0.30; 0.20; 1.5; 1.3];
B=[1; 1.30; 2.0; 3.5; 4.0];
C=[-3; 0.25; 0.85; 1.2; -0.70];
row = (1:length(C))';

ind = A>1.2 & B>2.0 & C<-0.6;

newC = [row(ind) A(ind) B(ind) C(ind)]

newC = 1×4

5.0000 1.3000 4.0000 -0.7000

[Jorge Luis Paredes Estacio]

Thank you very much. It worked perfectly.