WeibullDataSet Class: Difference between revisions

From ReliaWiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 21: Line 21:
<br>
<br>


== Events ==
== Events ==
*WeibullDataSet.Events {{APIComment|Reference to a class that contains overridable methods for handling Weibull solver events.}} See [[WeibullEvents Class]] for more detail.
*WeibullDataSet.Events {{APIComment|Reference to a class that contains overridable methods for handling Weibull solver events.}} See [[WeibullEvents Class]] for more detail.
<br>
<br>


== Methods ==
== Methods ==
*'''[[WeibullDataSet.ClearDataSet|ClearDataSet]]''' {{APIComment|Clears all data and fitted model. All analysis settings stay unchanged.}}
 
*'''[[WeibullDataSet.AddFailure|AddFailure]]''' {{APIComment|Adds a failure data point to the collection of data points in the data set.}}
*'''[[WeibullDataSet.AddFailure|AddFailure]]''' {{APIComment|Adds a failure data point to the collection of data points in the data set.}}
*'''[[WeibullDataSet.AddSuspension|AddSuspension]]''' {{APIComment|Adds a suspension data point to the collection of data points in the data set.}}
*'''[[WeibullDataSet.AddSuspension|AddSuspension]]''' {{APIComment|Adds a suspension data point to the collection of data points in the data set.}}
Line 34: Line 34:
*'''[[WeibullDataSet.Calculate|Calculate]]''' {{APIComment|Fits a model from the raw data previously entered in the data set. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}}
*'''[[WeibullDataSet.Calculate|Calculate]]''' {{APIComment|Fits a model from the raw data previously entered in the data set. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}}
*'''[[WeibullDataSet.CalculateBestFit|CalculateBestFit]]''' {{APIComment|Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}}
*'''[[WeibullDataSet.CalculateBestFit|CalculateBestFit]]''' {{APIComment|Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}}
*'''[[WeibullDataSet.ClearDataSet|ClearDataSet]]''' {{APIComment|Clears all data and fitted model. All analysis settings stay unchanged.}}

Revision as of 21:08, 12 September 2013



Instantiate this class to be able to fit an Weibull model from your raw data.

Constructors

  • New WeibullDataSet Creates a new class that can be used to fit a model from Weibull raw data.


Properties

  • DatasetName Gets or set the name of the data set.
  • GeneralSettings General settings used when fitting the model or finding the best fit.
  • AnalysisSettings Settings used when fitting the model.
  • BestFitSettings Settings used when fitting the model or finding the best fit.
  • FittedModel Model, fitted from the raw data. See cModel class for the list of its methods below.
  • FailureCount Total number of failures in the data set.
  • SuspensionCount Total number of suspensions in the data set.



Events

  • WeibullDataSet.Events Reference to a class that contains overridable methods for handling Weibull solver events. See WeibullEvents Class for more detail.


Methods

  • AddFailure Adds a failure data point to the collection of data points in the data set.
  • AddSuspension Adds a suspension data point to the collection of data points in the data set.
  • AddFailureInterval Adds a failure interval data point to the collection of data points in the data set.
  • AddSuspensionInterval Adds a suspension interval data point to the collection of data points in the data set.
  • AddFreeForm Adds a free-form data point to the collection of data points in the data set.
  • Calculate Fits a model from the raw data previously entered in the data set. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.
  • CalculateBestFit Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.
  • ClearDataSet Clears all data and fitted model. All analysis settings stay unchanged.