WeibullDataSet Class: Difference between revisions
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*'''[[WeibullDataSet.FailureCount]]''' {{APIComment|Total number of failures in the data set.}} | *'''[[WeibullDataSet.FailureCount]]''' {{APIComment|Total number of failures in the data set.}} | ||
*'''[[WeibullDataSet.SuspensionCount]]''' {{APIComment|Total number of suspensions in the data set.}} | *'''[[WeibullDataSet.SuspensionCount]]''' {{APIComment|Total number of suspensions in the data set.}} | ||
<br> | <br> | ||
Revision as of 17:10, 10 September 2013
Instantiate this class to be able to fit a 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
- WeibullDataSet.DatasetName Gets or set the name of the data set.
- WeibullDataSet.GeneralSettings General settings used when fitting the model or finding the best fit.
- WeibullDataSet.AnalysisSettings Settings used when fitting the model.
- WeibullDataSet.BestFitSettings Settings used when fitting the model or finding the best fit.
- WeibullDataSet.FittedModel Model, fitted from the raw data. See cModel class for the list of its methods below.
- WeibullDataSet.FailureCount Total number of failures in the data set.
- WeibullDataSet.SuspensionCount Total number of suspensions in the data set.
Methods
- ClearDataSet Clears all data and fitted model. All analysis settings stay unchanged.
- 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.