Friedman Test

The Friedman test is used to detect any difference between subjects under test measured variously multiple times. More precisely, this non-parametric test states whether there is a significant difference in the location parameters of k statistical samples (>= 3, columns candidates, treatments, subject), measured n times (rows, blocks, participants, measures), or not. The data in each row is ranked, based on which a resulting test statistic Q is calculated.

If n > 15 or k > 4, the test statistic Q can be approximated to be Χ2 distributed. With the given significance level α, a corresponding p-value (null hypothesis H0: there is no difference of the location parameters in the samples, alternative hypothesis HA: the samples in the columns have different location parameters) can be given.

Please refer also to the Wikipedia description of the Friedman Test.

Options

Significance level α
The significance level for the hypothesis test. A difference in the samples is assumed based on this value, where 0 ≤ α ≤ 1. Commonly used values are 0.05 or 0.01.
Distributions
Select the columns (samples/distributions) to be included in the Friedman test. Each column represents a treatment or condition, and each row represents a block or subject. At least 3 columns must be selected.
Missing values strategy
Specifies how missing values are handled when ranking is done.
  • Minimal: Missing values are considered minimal in the ordering
  • Maximal: Missing values are considered maximal in the ordering
  • Fixed: Missing values are left in place
  • Failed: Missing values result in node failure
Ties strategy
Specifies how ties in each block are handled when ranking is done.
  • Sequential: Ties assigned sequential ranks in order of occurrence
  • Minimum: Ties get the minimum applicable rank
  • Maximum: Ties get the maximum applicable rank
  • Average: Ties get the average of applicable ranks
  • Random: Ties get a random integral value from among applicable ranks
Use random seed
Enable to use a custom seed for the random number generator when the Ties Strategy is set to Random. If disabled, a random seed will be used.
Seed
The seed value for the random number generator used when randomizing tied ranks.
New seed
Generate a random seed and set it in the Seed input above for reproducible runs.

Input Ports

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The table from which to test samples.

Output Ports

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Friedman test evaluation.

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Installation

To use this node in KNIME, install the extension KNIME Statistics Nodes (Labs) from the below update site following our NodePit Product and Node Installation Guide:

v5.11

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 5.11.0.v202602091331
On NodePit since: 2026-03-10
Last update: 2026-03-23
Tags: Modern UI
KNIME versions: Since v3.7

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