Random Number Assigner (Apache)

Generates a new column with values selected from the selected distribution. There are two numerical parameters which can be controlled, Value1 and Value2. Based on the distribution which is selected the parameters have different meanings. See the section below for an explanation.

Gaussian

Value1: mean
Value2: standard deviation > 0

Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.

Exponential

Value1: mean > 0
Value2: not used

Generates a random value from the exponential distribution with specified mean.

Gamma

Value1: shape > 0
Value2: scale > 0

Generates a random value from the Gamma Distribution.

Value1: df the degrees of freedom > 0
Value2: not used

Generates a random value from the T Distribution.

Weibull

Value1: shape > 0
Value2: scale > 0

Generates a random value from the Weibull Distribution.

Beta

Value1: alpha
Value2: beta

Generates a random value from the Beta Distribution.

Cauchy

Value1: median
Value2: scale

Generates a random value from the Cauchy Distribution.

ChiSquare

Value1: df - the degrees of freedom
Value2: not used

Generates a random value from the ChiSquare Distribution.

Value1: numeratorDf - the numerator degrees of freedom > 0
Value2: denominatorDf - the denominator degrees of freedom > 0

Generates a random value from the F Distribution.

Uniform

Value1: lower > upper
Value2: upper

Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded).

The generation is performed with the Data Generators as provided by Apache Commons Math.

Options

Distribution

The statistical distribution from which the random values are generated. The meaning of Value 1 and Value 2 depends on the selected distribution:

Beta: Beta distribution. Value 1 = alpha, Value 2 = beta.
Cauchy: Cauchy distribution. Value 1 = median, Value 2 = scale.
Chi-Square: Chi-Square distribution. Value 1 = degrees of freedom (Value 2 is ignored).
Exponential: Exponential distribution. Value 1 = mean (> 0) (Value 2 is ignored).
F: F distribution. Value 1 = numerator degrees of freedom (> 0), Value 2 = denominator degrees of freedom (> 0).
Gamma: Gamma distribution. Value 1 = shape (> 0), Value 2 = scale (> 0).
Gaussian: Gaussian (normal) distribution. Value 1 = mean, Value 2 = standard deviation (> 0).
T: Student's t distribution. Value 1 = degrees of freedom (> 0) (Value 2 is ignored).
Uniform: Uniform distribution. Value 1 = lower bound, Value 2 = upper bound (> Value 1).
Weibull: Weibull distribution. Value 1 = shape (> 0), Value 2 = scale (> 0).

Column name

The name of the new column containing the randomly generated values.

Value 1

The first parameter for the selected distribution.

Value 2

The second parameter for the selected distribution.

Use seed

When enabled, a fixed seed is used to produce a deterministic result. When disabled, each execution may produce different results.

Seed

The random seed to produce a deterministic result. Only used when "Use seed" is enabled.

Draw seed

Generate a random seed and set it in the seed input above for reproducible runs.

Input Ports

: Some data.

Output Ports

: One additional column containing the random distributed value.

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Installation

To use this node in KNIME, install the extension KNIME Data Generation from the below update site following our NodePit Product and Node Installation Guide:

v5.12

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.12.0.v202606230936

On NodePit since: 2026-08-08

Last update: 2026-08-13

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KNIME versions: Since v3.6

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