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Wilcoxon-Mann-Whitney Test

KNIME Statistic Nodes (Labs) version 4.1.0.v201912021012 by KNIME AG, Zurich, Switzerland

The non-parametric Wilcoxon-Mann-Whitney test (a.k.a. Mann–Whitney U test, Wilcoxon rank-sum test) tests if two independent samples, with ordinal attributes, originate from populations with the same distribution.

More information can be found at Wilcoxon-Mann-Whitney test on Wikipedia.

Hypotheses:
H0: the distributions of the populations are the same.
HA: the distributions of the populations are different.

Options

Test Column
Column containing independent, ordinal samples.
Group Column
Column containing group labels.
Group One
Label of first group.
Group Two
Label of second group.
Missing Value Strategy
Strategy on how missing and Double.NaN values are treated.
  • Fixed: Missing values will be replaced with Double.NaN.
  • Failed: An exception is thrown and the node fails to execute.
  • Maximal: Missing values are considered to be maximal in the ranking.
  • Minimal: Missing values are considered to be minimal in the ranking.

Input Ports

Input table with at least one ordinal column and one nominal column (groups).

Output Ports

Output table with Wilcoxon-Mann-Whitney test statistics, p-Value, and descriptive statistics of group ranks.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Statistics Nodes (Labs) from the following update site:

KNIME 4.1
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