harmmean — Compute the harmonic mean of numeric data.

harmmean(X) computes the harmonic mean along the first non-singleton dimension. Dimension, vector-dimension, "all", "includenan", and "omitnan" forms are supported.

Syntax

Y = harmmean(X)
Y = harmmean(X, dim)
Y = harmmean(X, dim, nanflag)

Inputs

NameTypeRequiredDefaultDescription
XAnyYesInput data array.
dimAnyNoDimension, dimension vector, or "all" selector.
optionsAnyVariadicOptional dimension and missing-value arguments.

Returns

NameTypeDescription
YNumericArrayComputed statistic.

Errors

IdentifierWhenMessage
RunMat:harmmean:InvalidArgumentInputs, flags, dimensions, or options are malformed.descriptive statistics: invalid argument
RunMat:harmmean:InternalInternal tensor conversion or allocation fails.descriptive statistics: internal error

How harmmean works

  • NaNs are included by default.
  • "omitnan" skips NaNs in each slice; empty slices return NaN.
  • A zero in a slice produces a zero harmonic mean for that slice.
  • Numeric and logical inputs are promoted to double precision.

Example

Harmonic mean across all values

m = harmmean([1 2 4], "all")

Using harmmean with coding agents

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

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

FAQ

Can I reduce over several dimensions?

Yes. Pass a dimension vector such as harmmean(X,[1 3]).

Open-source implementation

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

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