How can I sort my data by within a sorting

I have a set of x,y,z data. I want to have all of the data sorted by x (least to greatest), then I want to have the y data be sorted within the x sort (least to greatest in the positive x data and then least to greatest for the negative data). I then want to do the same in the same for the z data in the positive and negative y data. How can I do that?

[John Hunt]

The answers below are almost what I need, this sorts the data by the last column, so I have positive number with negative numbers in the -x numbers. I need them separate.

so -x,y -x,-y -x,-y -x,-y -x,y x,y x,-y x,-y x,y x,y to --> -x,-y -x,-y -x,-y -x,y -x,y x,-y x,-y x,y x,y x,y

Answer 1

[Cedric]

 [xyz_sorted, id] = sortrows( [x(:),y(:),z(:)] ) ;

[John Hunt]

This is almost what I need, this sorts the data by the last column, so I have positive number with negative numbers in the -x numbers. I need them separate.

so -x,y -x,-y -x,-y -x,-y -x,y x,y x,-y x,-y x,y x,y to --> -x,-y -x,-y -x,-y -x,y -x,y x,-y x,-y x,y x,y x,y

[Cedric]

You will have to make a numeric example.

[dpb]

Ewww...that's taking some doing but isn't too bad; just bookkeeping.

1. sort x keeping index vector, iSrt
2. get logical vector for y of negative locations, iNegY
3. build sorted row in pieces of [x(iSrt(iNegY)) y(iNegY)]
4. concatenate the remainder with [x(iSrt(~iNegY)) y(~iNegY)]

Is then complicated that there's the subsequent partitioning of Z as subset of Y to keep those pieces so in reality there's four subsections, not just two (or, of course, if you also mean this for X, then it's 8).

I've got another appointment at moment, but that's the idea...

Answer 2

[dpb]

doc sortrows

Following up on previous note -- given

>> x=rand(10,1); y=rand(size(x))-0.5;
>> [x y]
ans =
  0.1576    0.1557
  0.9706   -0.4643
  0.9572    0.3491
  0.4854    0.4340
  0.8003    0.1787
  0.1419    0.2577
  0.4218    0.2431
  0.9157   -0.1078
  0.7922    0.1555
  0.9595   -0.3288
>>

for the x,y case

>> [~,iSrt]=sort(x);
>> iNegY=y<0;
>> [sortrows([x(iSrt(iNegY))  y(iNegY)]); ...
    sortrows([x(iSrt(~iNegY)) y(~iNegY)])]
ans =
  0.1576   -0.4643
  0.9572   -0.1078
  0.9706   -0.3288
  0.1419    0.1557
  0.4218    0.3491
  0.4854    0.4340
  0.7922    0.1787
  0.8003    0.2577
  0.9157    0.2431
  0.9595    0.1555
>>

Presuming that's the desired result, have to subsequently partition z by the two subsections within y for total of four pieces.