isoutlier — Detect outliers in numeric arrays.

isoutlier returns a logical mask for numeric observations outside method-specific lower and upper thresholds. RunMat supports numeric array inputs, default dimension reduction, and the "median", "mean", "quartiles", "percentiles", "movmedian", and "movmean" detection methods.

Syntax

TF = isoutlier(A)
TF = isoutlier(A, method)
TF = isoutlier(A, ___, dim)
[TF, L, U, C] = isoutlier(___)

Inputs

NameTypeRequiredDefaultDescription
AAnyYesInput numeric array.
optionsAnyVariadicDetection method, dimension, and name-value options.

Returns

NameTypeDescription
TFLogicalArrayLogical mask of detected outliers.
LNumericArrayLower threshold.
UNumericArrayUpper threshold.
CNumericArrayCenter value used by the detection method.

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

Errors

IdentifierWhenMessage
RunMat:outliers:InvalidArgumentInputs, methods, dimensions, or name-value options are malformed.outlier builtin: invalid argument
RunMat:outliers:UnsupportedA table/timetable or advanced smoothing/interpolation form is requested.outlier builtin: unsupported form
RunMat:outliers:InternalInternal tensor or logical array materialization fails.outlier builtin: internal error
RunMat:outliers:TooManyOutputsMore outputs are requested than the builtin can return.outlier builtin: too many outputs

Examples

Detect a vector outlier

TF = isoutlier([1;2;100;4;5])

Return thresholds

[TF,L,U,C] = isoutlier(A,"quartiles")

Using isoutlier with coding agents

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

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

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