IMSTAT Procedure (Analytics)
- Syntax
Procedure SyntaxPROC IMSTAT (Analytics) StatementAGGREGATE StatementARM StatementASSESS StatementBOXPLOT StatementCLUSTER StatementCORR StatementCROSSTAB StatementDECISIONTREE StatementDISTINCT StatementFORECAST StatementFREQUENCY StatementGENMODEL StatementGLM StatementGROUPBY StatementHISTOGRAM StatementHYPERGROUP StatementKDE StatementLOGISTIC StatementMDSUMMARY StatementNEURAL StatementOPTIMIZE StatementPERCENTILE StatementRANDOMWOODS StatementREGCORR StatementSUMMARY StatementTEXTPARSE StatementTOPK StatementTRANSFORM StatementQUIT Statement - Overview
- Using
- Examples Calculating Percentiles and QuartilesRetrieving Box ValuesRetrieving Box Plot Values with the NOUTLIERLIMIT= OptionRetrieving Distinct Value Counts and GroupingPerforming a Cluster AnalysisPerforming a Pairwise CorrelationCrosstabulation with Measures of Association and Chi-Square TestsTraining and Validating a Decision TreeStoring and Scoring a Decision TreePerforming a Multi-Dimensional SummaryFitting a Regression ModelForecasting and Automatic ModelingForecasting with Goal SeekingAggregating Time Series DataTraining and Validating a Neural NetworkPredicting Email Spam and Assessing the ModelTransforming Variables with Imputation and Binning
REGCORR Statement
The REGCORR statement calculates and returns the results for linear, quadratic, or cubic polynomial regression models.
| Example: | Fitting a Regression Model |
Syntax
Optional Argument
variable-list
specifies one or more numeric variables. If you do not specify this option, then all numeric variables in the table are used.
REGCORR Statement Options
NBEST=n
specifies that results are returned only for the n regression with the highest R-square value (the highest coefficient of determination) . If n is smaller than the number of regressions computed by the statement, then the actual number of computed regression is returned.
ORDER=1 | 2 | 3
ORDER=-1 | –2 | –3
specifies the highest polynomial degree in the regression model. By default, ORDER=1, and the model is a simple linear regression. Specify ORDER=2 for a quadratic model and ORDER=3 for a cubic model.
| Default | 1 |
SAVE=table-name
saves the result table so that you can use it in other IMSTAT procedure statements like STORE, REPLAY, and FREE. The value for table-name must be unique within the scope of the procedure execution. The name of a table that has been freed with the FREE statement can be used again in subsequent SAVE= options.
TEMPEXPRESS="SAS-expressions"
TEMPEXPRESS=file-reference
specifies either a quoted string that contains the SAS expression that defines the temporary variables or a file reference to an external file with the SAS statements.
| Alias | TE= |
TEMPNAMES=variable-name
TEMPNAMES=(variable-list)
specifies the list of temporary variables for the request. Each temporary variable must be defined through SAS statements that you supply with the TEMPEXPRESS= option.
| Alias | TN= |
VARWITH
if this option is specified,
the variable-list of size k is
interpreted to consist of one response variable and k–1
regressors. Otherwise, the variable-list is
used to compute all pairs of regressions where the response variable
cycles through the left-hand side of the list. For example, if variable-list is x1, x2, x3,
and x4, then the REGCORR statement
computes the following regression models:
|
Response Variable
|
Regressor Variable
|
|---|---|
|
x1
|
x2
|
|
x1
|
x3
|
|
x1
|
x4
|
|
x2
|
x3
|
|
x2
|
x4
|
|
x3
|
x4
|
|
Response Variable
|
Regressor Variable
|
|---|---|
|
x1
|
x2
|
|
x1
|
x3
|
|
x1
|
x4
|
Details
ODS Table Names
|
ODS Table Name
|
Description
|
Option
|
|---|---|---|
|
Regression
|
Linear Regression
|
Default
|