Kolmogorov-Smirnov Test

Options

Significance level α

Significance level at which the null hypothesis can be rejected, 0 < α < 1

First test column

The first sample (column) included in the test. Only numeric (Double-compatible) columns are available.

Second test column

The second sample (column) included in the test. Only numeric (Double-compatible) columns are available.

Missing values strategy

Determines how missing values in the samples are handled during the test.

• Remove: Missing values are ignored and removed from the sample before testing.
• Fail: The node fails if any missing values are present in the selected columns.

Exact p-value

If enabled, the exact p-value is computed instead of using the approximation. This requires:

• No ties (duplicate values) present in both samples.
• The product of the two sample sizes must be less than 10000.

Note that the calculation of the exact p-value can be computationally expensive.

Cauchy criterion

Stopping criterion for the approximation of the p-value. The iteration stops when successive partial sums are within this tolerance of each other. Must be between 0 and 1 (inclusive).

Max number of iterations

Maximum number of iterations for the approximation of the p-value. The iteration stops once this limit is reached.

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• NodePit, your search engine for KNIME nodes and workflowsby danielesser on 2018-12-10

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