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
LSMEANS Statement
LSMEANS <model-effects> </ options> ;
The LSMEANS statement computes and compares least squares means (LS-means) of fixed effects. LS-means are predicted population margins—that is, they estimate the marginal means over a balanced population. In a sense, LS-means are to unbalanced designs as class and subclass arithmetic means are to balanced designs.
Table 16.19 summarizes the options available in the LSMEANS statement.
Table 16.19: LSMEANS Statement Options
|
Option |
Description |
|---|---|
|
Construction and Computation of LS-Means |
|
|
AT in SAS/STAT 12.1 User's Guide |
Modifies the covariate value in computing LS-means |
|
BYLEVEL in SAS/STAT 12.1 User's Guide |
Computes separate margins |
|
DIFF in SAS/STAT 12.1 User's Guide |
Requests differences of LS-means |
|
OM= in SAS/STAT 12.1 User's Guide |
Specifies the weighting scheme for LS-means computation as determined by the input data set |
|
SINGULAR= in SAS/STAT 12.1 User's Guide |
Tunes estimability checking |
|
Degrees of Freedom and p-values |
|
|
ADJUST= in SAS/STAT 12.1 User's Guide |
Determines the method for multiple-comparison adjustment of LS-means differences |
|
ALPHA= in SAS/STAT 12.1 User's Guide |
Determines the confidence level ( |
|
STEPDOWN in SAS/STAT 12.1 User's Guide |
Adjusts multiple-comparison p-values further in a step-down fashion |
|
Statistical Output |
|
|
CL in SAS/STAT 12.1 User's Guide |
Constructs confidence limits for means and mean differences |
|
CORR in SAS/STAT 12.1 User's Guide |
Displays the correlation matrix of LS-means |
|
COV in SAS/STAT 12.1 User's Guide |
Displays the covariance matrix of LS-means |
|
E in SAS/STAT 12.1 User's Guide |
Prints the |
|
LINES in SAS/STAT 12.1 User's Guide |
Produces a “Lines” display for pairwise LS-means differences |
|
MEANS in SAS/STAT 12.1 User's Guide |
Prints the LS-means |
|
PLOTS= in SAS/STAT 12.1 User's Guide |
Requests graphs of means and mean comparisons |
|
SEED= in SAS/STAT 12.1 User's Guide |
Specifies the seed for computations that depend on random numbers |
For details about the syntax of the LSMEANS statement, see the section LSMEANS Statement in SAS/STAT 12.1 User's Guide in Chapter 19: Shared Concepts and Topics in SAS/STAT 12.1 User's Guide.