unidrnd — Generate random integers from a discrete uniform distribution.

unidrnd(n) generates random integers from 1 through n. Size arguments can be supplied as separate dimensions or as a size vector.

Syntax

r = unidrnd(n)
r = unidrnd(n, sz)
r = unidrnd(n, sz1, sz2, ...)

Inputs

NameTypeRequiredDefaultDescription
nAnyYesPopulation size or upper discrete uniform bound.
szAnyVariadicOutput dimensions.

Returns

NameTypeDescription
rNumericArrayDiscrete uniform random sample.

Errors

IdentifierWhenMessage
RunMat:unidrnd:InvalidArgumentInputs, dimensions, replacement flags, or weights are malformed.sampling: invalid argument
RunMat:unidrnd:InternalInternal conversion or allocation fails.sampling: internal error

How unidrnd works

  • n must be a positive integer scalar or an array of positive integers.
  • Scalar n broadcasts over the requested output size.
  • Array n requires the requested size to match the shape of n.
  • A single size argument creates a square matrix, following MATLAB random-size conventions.

Examples

Scalar sample

r = unidrnd(10)

Matrix sample

r = unidrnd(6, 3, 4)

Using unidrnd with coding agents

Open a RunMat example with live inputs, then ask the agent to explain how unidrnd changes the result.

Run a small unidrnd example, explain the result, then change one input and compare the output.

FAQ

What class does unidrnd return?

RunMat returns double-precision numeric values, matching the common MATLAB numeric result shape.

Open-source implementation

Unlike proprietary runtimes, every RunMat function is open-source. Read exactly how unidrnd is executed, line by line, in Rust.

About RunMat

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