Data Generation

Random-Number-Generators

Random Number Generation

Two functions in this category, rnd and ran() and grnd(), return a value. All the other functions in this category return a range.

Name	Brief	Example
grnd( )	Returns a value from a normally (Gaussian) distributed sample, with zero mean and unit standard deviation.
normal(npts, seed)	Return a range with npts number of values.	Examples
pattern( )	Return a range of patterned data, numeric or text.	Examples
Poisson(npts, mean, seed)	Return npts number of random integers having a Poisson distribution, with mean mean. Argument seed is optional.
ran(seed)	Return a value between 0 and 1 from a uniformly distributed sample. The same as rnd(seed)
rnd(seed)	Return a value between 0 and 1 from a uniformly distributed sample.
uniform(npts, seed)	Returns a range with npts number of values.	Examples

Dataset Generation

Name	Brief	Example
Data(x1, x2, inc)	Creates a dataset with an initial value of x1, a final value of x2, and an increment equal to inc.	Example
{v1, v2, ...vn}, {v1:vn}, {v1:vstep:vn}	Assigns values to worksheet columns or loose datasets.	Example
Fit(Xdataset,n)	Creates a dataset corresponding to the fitted line generated during nonlinear fitting	Example