standardizeMissing — Replace user-specified missing indicators with canonical missing values.

standardizeMissing(A, indicators) converts numeric indicators to NaN and text indicators to <missing>.

Syntax

B = standardizeMissing(A, indicators)

Inputs

NameTypeRequiredDefaultDescription
AAnyYesInput value.
argsAnyVariadicMethod, dimension, or option arguments.

Returns

NameTypeDescription
BAnyResult value.

Errors

IdentifierWhenMessage
RunMat:missing:InvalidArgumentArguments do not match a supported missing-value syntax.missing-value builtin: invalid argument
RunMat:missing:UnsupportedTypeThe input type has no missing-value representation in RunMat.missing-value builtin: unsupported input type
RunMat:missing:InternalErrorInternal shape or table materialization fails.missing-value builtin: internal error

How standardizeMissing works

  • Numeric arrays accept scalar or array indicators; NaN indicators match existing NaNs.
  • String arrays and character-array rows accept text indicators and are converted to the missing string sentinel.
  • Cell arrays and tables are processed recursively.

Example

Convert sentinel values to NaN

B = standardizeMissing([-99 2 4], -99)

Expected output:

B = [NaN 2 4]

Using standardizeMissing with coding agents

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

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

Open-source implementation

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

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