# Independent Normal Random Number Generator

## Class Name

- RIndependentNormalRandomNumberGenerator

## Location in Objects Pane

- Methods > Random Number Generator > Independent Normal

## Properties

### Object Name

- Name of the object in Rt
- Allowable characters are upper-case and lower-case letters, numbers, and underscore (“_”).
- The name is unique and case-sensitive.

### Start Point

- Determines the start point to generate random numbers that can either be mean, origin or current value.

### Standard Deviation

- Standard deviation which is typically set as 1.

### Seed

- Determines the number used to initialize a pseudorandom number generator.
- Matching seeds can generate matching sequences of non-repeating numbers.
- For more information, see James Gentle (2013).

- Indicates the transformer object which transforms random variables from original space to the standard normal space or vice versa.

## Output

- This object generates a sequence of independent random numbers from a normal distribution.

## Right-click Menu

### Remove

## References

- Gentle, J. E. (2013). Random number generation and Monte Carlo methods. Springer Science & Business Media