Vector containing strictly numerical data.

Note that if x is referred to a continuous variable x(1)
represent the lower extreme of the first class, and the other
values of x contain the upper extremes of the other
classes.

**
Data Types: **`double, ordered categorical`

Requested probabilities for which to compute the quantile,
specified as a scalar.

**
Data Types: **`double`

Specify optional comma-separated pairs of `Name,Value`

arguments.
`Name`

is the argument name and `Value`

is the corresponding value. `Name`

must appear
inside single quotes (`' '`

).
You can specify several name and value pair arguments in any order as ```
Name1,Value1,...,NameN,ValueN
```

.

**Example:
**```
'freq',1:10
```

,```
'DiscreteData',false
```

,```
'plots',true
```

Vector of the same length of x containing the frequencies
(weights) associated to each value of x if x is discrete or
vector with length (x)-1 if variable X is continuous. If
freq is not supplied, it is assumed that all observations have the
same (relative) frequency (weight).

**Example: **```
'freq',1:10
```

**Data Types: **`double`

If DiscreteData is true (default), we assume that the data
in x come from a discrete variable.

If DiscreteData is false, we assume that the data
in x come from a continuous variable.

**Example: **```
'DiscreteData',false
```

**Data Types: **`boolean`

If plots is true an additional plot which shows
graphically how the quantile has been obtained using the
linear interpolation is displayed on the screen. The
default value of plots is false.

**Example: **```
'plots',true
```

**Data Types: **`boolean`