Generate values from a standard normal distribution.

Generate values from a standard normal distribution.

Generate values from a standard normal distribution.

See also

Generators

Methods

Public methods

• ExponentialGenerator$new()

• ExponentialGenerator$next_value()

• ExponentialGenerator$set_seed()

• ExponentialGenerator$clone()

---

Method new()

Create a new ExponentialGenerator object.

Usage

ExponentialGenerator$new(sc, mean)

Arguments

sc

A spark_connection.

mean

A numeric(1).

Returns

A new ExponentialGenerator object.

Examples

\dontrun{
  sc <- sparklyr::spark_connect(master = "local")
  exp_gen <- ExponentialGenerator$new(sc = sc, mean = 2)
}

---

Method next_value()

Get the next value

Usage

ExponentialGenerator$next_value()

Returns

A numeric(1) i.i.d.

Examples

\dontrun{
  exp_gen$next_value()
}

---

Method set_seed()

Set random seed

Usage

ExponentialGenerator$set_seed(seed)

Arguments

seed

integer(1). The unit.

Returns

NULL, invisibly.

Examples

\dontrun{
  exp_gen$set_seed(1L)
}

---

Method clone()

The objects of this class are cloneable with this method.

Usage

ExponentialGenerator$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

## ------------------------------------------------
## Method `ExponentialGenerator$new`
## ------------------------------------------------

if (FALSE) {
  sc <- sparklyr::spark_connect(master = "local")
  exp_gen <- ExponentialGenerator$new(sc = sc, mean = 2)
}

## ------------------------------------------------
## Method `ExponentialGenerator$next_value`
## ------------------------------------------------

if (FALSE) {
  exp_gen$next_value()
}

## ------------------------------------------------
## Method `ExponentialGenerator$set_seed`
## ------------------------------------------------

if (FALSE) {
  exp_gen$set_seed(1L)
}