3D Scatter with different Z axis vector length

i have x and y data of size (100,1), and this data is for a specific number

x = lhsdesign(100,2);
R = 1000:1000:6000;
scatter3(x(:,1),x(:,2),R)

now i want to plot this in 3d scatter. please guide.

it is just like for each R there is an 100 size vector of x and y.

[Haris Hameed]

i want somthing like this

[Adam Danz]

How should 6 values of R be mapped onto 100 values of x and y?

You probably just need to use repelem or repmat but it's unclear how the R values should be assigned.

[Haris Hameed]

can we somehow plot the x y scatter in layers ??

[Adam Danz]

Sure, but what defines the layers?

I know what x is. I don't know what z should be and I don't know what you want to do with R.

[Haris Hameed]

X and Y are random numbers. These are actually sample points. And R is the value at which these samples calculated. Advancing R we get set of X and Y data points. So R is the layer number where i want to plot X and Y.

[Adam Danz]

"R is the value at which these samples calculated"

That's where my understanding falls off a cliff. How are 100 random numbers calculated from 6 R values?

If you want a 3D plot, each (x,y) value needs a z value and it's unclear what those z values should be. We need 100 of them.

How should the 100 (x,y) values be distributed across 6 layers?

[Haris Hameed]

For example R is the section position on a wing surface (y/b). And at each section we get the values of cp, x, y, temp etc.

[Adam Danz]

How do I know what section x(5,:) comes from, for example? What about x(92,:) - what section/level/R is that from?

[Haris Hameed]

The sample point is stored for each R. X(92,:,5) so this x is for section 5. For each section (layer) we have 100 data points.

[Adam Danz]

ah.... there we go. Check back in a bit.

Answer 1

[Adam Danz]

I don't know how you're storing the variables but the demo below should get you started.

It loops through values of R and you'll need to add the part that extracts the x and y values; for now it just uses the same (x,y) values.

x = lhsdesign(100,2);
R = 1000:1000:6000;

figure()
axes()
hold on % important
view(3)
grid on
for i = 1:numel(R)
    % get x values 
    % x = ???
    % y = ???
    scatter3(x(:,1),x(:,2), repelem(R(i),numel(x(:,1)),1));
end
view([45,5]) % so you can see the layers (try view([90,0]) too)

[Haris Hameed]

Yes exactly, thank you... really appreciate