Generally, you use the `sdo.scatterPlot(X,Y)`

syntax
with `X`

specifying the samples and `Y`

specifying
the cost function value for each sample. Use the `sdo.evaluate`

command
to perform the cost function evaluation to generate `Y`

.
For this example, obtain 100 samples of the `Ac`

and `K`

parameters
of the `sdoHydraulicCyclinder`

model. Calculate the
cost function as a function of `Ac`

and `K`

.
Create a scatter plot to see the sample and cost function values.

Load the `sdoHydraulicCyclinder`

model.

Generate 100 samples of the `Ac`

and `K`

parameters.

The first operation obtains the `Ac`

and `K`

parameters
as a vector, `p`

. The second operation creates an `sdo.ParameterSpace`

object, `ps`

,
that specifies the probability distributions of the parameter samples.
The third operation generates 100 samples of each parameter, returned
as a `Table`

, `X`

.

Calculate the cost function value table.

Create a scatter plot of `X`

and `Y`

.

Sample the `Ac`

and `K`

parameters
of the `sdoHydraulicCyclinder`

model. Use a scatter
plot to analyze the samples.

Load the `sdoHydraulicCyclinder`

model.

Generate 100 samples of the `Ac`

and `K`

parameters.

The first operation obtains the `Ac`

and `K`

parameters
as a vector, `p`

. The second operation creates an `sdo.ParameterSpace`

object, `ps`

,
that specifies the probability distributions of the parameter samples.
The third operation generates 100 samples of each parameter, returned
as a `Table`

, `X`

.

Create a scatter plot of `X`

.

Generate samples of the `Ac`

and `K`

parameters
of the `sdoHydraulicCyclinder`

model.

Create a scatter plot matrix and return the object handles
and the axes handles.

To set properties for the scatter plots, use the handles in `H`

.
To set properties for the histograms, use the patch handles in `P`

.
To set axes properties, use the axes handles, `Ax`

, `BigAX`

,
and `PAx`

.

Specify a title for the plot matrix and add legends specifying
the sample distribution for each parameter.