WeibullDataSet Class: Difference between revisions
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== 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|Events]] {{APIComment|Reference to a class that contains overridable methods for handling Weibull solver events.}} See [[WeibullEvents Class]] for more detail. | ||
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Revision as of 00:48, 13 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. 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.