The RELIABILITY Procedure
- Overview
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Getting Started
Analysis of Right-Censored Data from a Single PopulationWeibull Analysis Comparing Groups of DataAnalysis of Accelerated Life Test DataWeibull Analysis of Interval Data with Common Inspection ScheduleLognormal Analysis with Arbitrary CensoringRegression ModelingRegression Model with Nonconstant ScaleRegression Model with Two Independent VariablesWeibull Probability Plot for Two Combined Failure ModesAnalysis of Recurrence Data on RepairsComparison of Two Samples of Repair DataAnalysis of Interval Age Recurrence DataAnalysis of Binomial DataThree-Parameter WeibullParametric Model for Recurrent Events DataParametric Model for Interval Recurrent Events Data -
SyntaxPrimary StatementsSecondary StatementsGraphical Enhancement StatementsPROC RELIABILITY StatementANALYZE StatementBY StatementCLASS StatementDISTRIBUTION StatementEFFECTPLOT StatementESTIMATE StatementFMODE StatementFREQ StatementINSET StatementLOGSCALE StatementLSMEANS StatementLSMESTIMATE StatementMAKE StatementMCFPLOT StatementMODEL StatementNENTER StatementNLOPTIONS StatementPROBPLOT StatementRELATIONPLOT StatementSLICE StatementSTORE StatementTEST StatementUNITID Statement
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DetailsAbbreviations and NotationTypes of Lifetime DataProbability DistributionsProbability PlottingNonparametric Confidence Intervals for Cumulative Failure ProbabilitiesParameter Estimation and Confidence IntervalsRegression Model Statistics Computed for Each Observation for Lifetime DataRegression Model Statistics Computed for Each Observation for Recurrent Events DataRecurrence Data from Repairable SystemsODS Table NamesODS Graphics
- References
The EFFECTPLOT statement produces a display of the fitted model and provides options for changing and enhancing the displays. Table 16.8 describes the available plot-types and their plot-definition-options.
Table 16.8: Plot-Types and Plot-Definition-Options
|
Plot-Type and Description |
Plot-Definition-Options |
|---|---|
|
Displays a box plot of continuous response data at each level of a CLASS effect, with predicted values superimposed and connected by a line. This is an alternative to the INTERACTION plot-type. |
PLOTBY=
variable or CLASS effect |
|
Displays a contour plot of predicted values against two continuous covariates |
PLOTBY=
variable or CLASS effect |
|
Displays a curve of predicted values versus a continuous variable |
PLOTBY=
variable or CLASS effect |
|
Displays a plot of predicted values (possibly with error bars) versus the levels of a CLASS effect. The predicted values are connected with lines and can be grouped by the levels of another CLASS effect. |
PLOTBY=
variable or CLASS effect |
|
Displays a mosaic plot of predicted values by using up to three CLASS effects |
PLOTBY=
variable or CLASS effect |
|
Displays a curve of predicted values versus a continuous variable, grouped by the levels of a CLASS effect |
PLOTBY=
variable or CLASS effect |
For full details about the syntax and options of the EFFECTPLOT statement, see the section EFFECTPLOT Statement in SAS/STAT 13.2 User's Guide in Chapter 19: Shared Concepts and Topics in SAS/STAT 13.2 User's Guide.