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Builtin Reference
    • anymissing
    • fillmissing
    • ismissing
    • missing
    • movmad
    • nanmean
    • nanmedian
    • nanmin
    • nanstd
    • nansum
    • nanvar
    • rmmissing
    • standardizeMissing

rmmissing — Remove missing elements, rows, or columns.

rmmissing(A) removes entries containing missing values. For matrices and tables it removes rows by default; passing dimension 2 removes columns.

Syntax

B = rmmissing(A, ...)

Inputs

NameTypeRequiredDefaultDescription
AAnyYes—Input value.
argsAnyVariadic—Method, dimension, or option arguments.

Returns

NameTypeDescription
BAnyResult value.
TFLogicalArrayLogical mask of entries, rows, or columns that were filled or removed.

Returned values from rmmissing depend on how many outputs the caller requests.

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 rmmissing works

  • Vectors remove individual missing elements while preserving row or column orientation.
  • Matrices remove rows by default and columns when dim is 2 or the option is "columns".
  • Tables remove rows with any missing variable entry by default, preserving variable names and row names.
  • Two-output calls return the result and a logical mask indicating removed rows, columns, or vector elements.
  • Every integer class has no standard missing value, so integer input is an exact class-preserving no-op with an all-false mask. A typed-integer dimension is a separately declared RunMat extension and MATLAB compatibility mode rejects it before provider access.

Example

Remove missing columns

B = rmmissing([1 NaN 3; 4 5 6], 2)

Expected output:

B = [1 3; 4 6]

Using rmmissing with coding agents

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

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

Related Missing functions

anymissing · fillmissing · ismissing · missing · movmad · nanmean · nanmedian · nanmin · nanstd · nansum · nanvar · standardizeMissing

Open-source implementation

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

  • View the source for rmmissing in Rust on GitHub
  • Learn how the RunMat runtime works
  • Found a bug? Open an issue with a minimal reproduction.

About RunMat

RunMat is an open-source runtime that executes MATLAB-syntax code blazing on any GPU. It is licensed under the Apache 2.0 license.

  • RunMat automatically optimizes your math for GPU execution on Apple, Nvidia, and AMD hardware. No code changes needed. Simulations that took hours now take minutes.
  • Start running code in seconds. RunMat runs in the browser, on the desktop, or from the CLI. No license server, no IT ticket.

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On this page
  • Syntax
  • Inputs
  • Returns
  • Errors
  • How rmmissing works
  • Example
  • Remove missing columns
  • Using rmmissing with coding agents
  • Related Missing functions
  • Open-source implementation
  • About RunMat