WeibullDataSet Class: Difference between revisions

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

Revision as of 17:20, 17 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

  • Events Reference to a class that contains overridable methods for handling Weibull solver events.

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.