The TRANSREG Procedure
- Overview
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Getting Started
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Syntax
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Details
Model Statement Usage Box-Cox Transformations Using Splines and Knots Scoring Spline Variables Linear and Nonlinear Regression Functions Simultaneously Fitting Two Regression Functions Penalized B-Splines Smoothing Splines Smoothing Splines Changes and Enhancements Iteration History Changes and Enhancements ANOVA Codings Missing Values Missing Values, UNTIE, and Hypothesis Tests Controlling the Number of Iterations Using the REITERATE Algorithm Option Avoiding Constant Transformations Constant Variables Character OPSCORE Variables Convergence and Degeneracies Implicit and Explicit Intercepts Passive Observations Point Models Redundancy Analysis Optimal Scaling OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations SPLINE and MSPLINE Transformations Specifying the Number of Knots SPLINE, BSPLINE, and PSPLINE Comparisons Hypothesis Tests Output Data Set OUTTEST= Output Data Set Computational Resources Unbalanced ANOVA without CLASS Variables Hypothesis Tests for Simple Univariate Models Hypothesis Tests with Monotonicity Constraints Hypothesis Tests with Dependent Variable Transformations Hypothesis Tests with One-Way ANOVA Using the DESIGN Output Option Discrete Choice Experiments: DESIGN, NORESTORE, NOZERO Centering Displayed Output ODS Table Names ODS Graphics
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Examples
- References
| OUTTEST= Output Data Set |
The OUTTEST= data set contains hypothesis test results. The OUTTEST= data set always contains ANOVA results. When you specify the SS2 a-option, regression tables are also output. When you specify the UTILITIES a-option, conjoint analysis part-worth utilities are also output. The OUTTEST= data set has the following variables:
- _DEPVAR_
is a 42-character variable that contains the dependent variable transformation and name.
- _TYPE_
is an 8-character variable that contains the table type. The first character is "U" for univariate or "M" for multivariate. The second character is blank. The third character is "A" for ANOVA, "2" for Type II sum of squares, or "U" for UTILITIES. The fourth character is blank. The fifth character is "L" for liberal tests, "C" for conservative tests, or "U" for the usual tests.
- Title
is an 80-character variable that contains the table title.
- Variable
is a 42-character variable that contains the independent variable transformations and names for regression tables and blanks for ANOVA tables.
- Coefficient
contains the multiple regression coefficients for regression tables and underscore special missing values for ANOVA tables.
- Statistic
is a 24-character variable that contains the names for statistics in other variables, such as Value.
- Value
contains multivariate test statistics and all other information that does not fit in one of the other columns including R square, dependent mean, adjusted R square, and coefficient of variation. Whenever Value is not an underscore special missing value, the Statistic variable describes the contents of the Value variable.
- NumDF
contains numerator degrees of freedom for F tests.
- DenDF
contains denominator degrees of freedom for F tests.
- SSq
contains sums of squares.
- MeanSquare
contains mean squares.
- F
contains F statistics.
- NumericP
contains the p-value for the F statistic, stored in a numeric variable.
- P
is a 9-character variable that contains the formatted p-value for the F statistic, including the appropriate
, <=, >=, or blank symbols. - LowerLimit
contains lower confidence limits on the parameter estimates.
- UpperLimit
contains upper confidence limits on the parameter estimates.
- StdError
contains standard errors. For SS2 and UTILITIES tables, standard errors are output for each coefficient with one degree of freedom.
- Importance
contains the relative importance of each factor for UTILITIES tables.
- Label
is a 256-character variable that contains variable labels.
There are several possible tables in the OUTTEST= data set corresponding to combinations of univariate and multivariate tests; ANOVA and regression results; and liberal, conservative, and the usual tests. Each table is composed of only a subset of the variables. Numeric variables contain underscore special missing values when they are not a column in a table. Ordinary missing values (.) appear in variables that are part of a table when a nonmissing value cannot be produced. For example, the F is missing for a test with zero degrees of freedom.