Name

adams.flow.transformer.ArrayStatistic

Synopsis

Generates statistics from a double array or matrix.
In case of an array, the data-type and location are ignored.

Additional information

Flow input/output:
- input: java.lang.Double[], java.lang.Double[][]
- output: adams.data.spreadsheet.SpreadSheet

Options

• loggingLevel
  

  The logging level for outputting errors and debugging output.

  command-line	-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST>
  default	WARNING
  min-user-mode	Expert

  
  
• name
  

  The name of the actor.

  command-line	-name <java.lang.String>
  default	ArrayStatistic

  
  
• annotations
  

  The annotations to attach to this actor.

  command-line	-annotation <adams.core.base.BaseAnnotation>
  default

  
  
• skip
  

  If set to true, transformation is skipped and the input token is just forwarded as it is.

  command-line	-skip <boolean>
  default	false

  
  
• stopFlowOnError
  

  If set to true, the flow execution at this level gets stopped in case this actor encounters an error; the error gets propagated; useful for critical actors.

  command-line	-stop-flow-on-error <boolean>
  default	false
  min-user-mode	Expert

  
  
• silent
  

  If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well.

  command-line	-silent <boolean>
  default	false
  min-user-mode	Expert

  
  
• dataType
  

  In case of a double matrix, whether to retrieve rows or columns; ignored in case of simple double arrays.

  command-line	-type <ROW_BY_INDEX|COLUMN_BY_INDEX>
  default	COLUMN_BY_INDEX

  
  
• locations
  

  The locations of the data; An index is a number starting with 1; the following placeholders can be used as well: first, second, third, last_2, last_1, last

  command-line	-location <adams.core.base.BaseString> [-location ...]
  default

  
  
• statistic
  

  The statistic to generate from the data.

  command-line	-statistic <adams.data.statistics.AbstractArrayStatistic>
  default	adams.data.statistics.ArrayMean