Random : Properties used to generate random data sets

# pseudoRandom


# randomDataDistribution

Distribution for the random data
Type: string
Default: biased
Options: range, normal, uniform, symmetrical, biased

# randomDataMax


# randomDataMean


# randomDataMin


# randomDataSampleAnnotations

Default number of sample annotations when creating random data
Type: integer
Default: 2

# randomDataSamples


# randomDataSigma


# randomDataTime

Flag to create or not time series random data for debug and demonstration purposes
Type: boolean
Default: false

# randomDataVariableAnnotations

Default number of variable annotations when creating random data
Type: integer
Default: 2

# randomDataVariables


# randomMethod

Random method
Type: string
Default: numericalRecipes
Options: jenkins, numericalRecipes

# randomMissingDataPercentage

Default percentage of missing values when creating random data. A value between 0 and 1
Type: float
Default:

# randomNetworkAll

Use all types of colors, shapes and edges in random network, otherwise only one color, one shape and straight black lines for the edges
Type: boolean
Default: true

# randomNetworkLayout

Random network layout
Type: string
Default: forceLayout
Options: forceDirected, circular, radial, duo, trio, pentagon, hexagon, octagon, star, small, medium, large, huge, lesmiserables, karate

# randomNetworkNodeEdgesMax

Default number of maximum edges when creating random networks
Type: integer
Default: 5

# randomNetworkNodes


# randomNetworkReduce

Flag to create or not a single random network for debug and demonstration purposes
Type: boolean
Default: true

# randomSeed

Specifies the random seed number to create pseudo random numbers
Type: integer
Default: 8