The QUANTSELECT Procedure

specifies the delimiter character, 'c', to be used between levels of classification variables when parameter names and lists of class level values are built. The default delimiter is a space. This option is useful if the levels of a classification variable contain embedded blanks.

requests a table that shows the coding used for each classification variable.

specifies that, at most, the first n characters of a CLASS variable name be used in creating names for the corresponding design variables. The default is , where f is the formatted length of the CLASS variable. This option applies only when you specify the PARMLABELSTYLE=INTERLACED option in the PROC QUANTSELECT statement.

reverses the sort order of the classification variable.

specifies that, at most, the first n characters of a CLASS variable label be used in creating labels for the corresponding design variables. The default is , where f is the formatted length of the CLASS variable. This option applies only when you specify the PARMLABELSTYLE=INTERLACED option in the PROC QUANTSELECT statement.

allows missing values, such as '.' for a numeric variable or a blank for a character variable, as valid values for the CLASS variable.

specifies the sort order for the levels of classification variables. If ORDER=FORMATTED for numeric variables for which you have supplied no explicit format, the levels are ordered by their internal values. The following table shows how PROC QUANTSELECT interprets values of the ORDER= option.

By default, ORDER=FORMATTED. For FORMATTED and INTERNAL, the sort order is machine dependent.

For more information about sort order, see the chapter on the SORT procedure in the Bookrefprocguide and the discussion of BY-group processing in SAS Language Reference: Concepts.

specifies the parameterization method for the classification variable or variables. Design matrix columns are created from CLASS variables according to the following coding schemes. If the PARAM= option is not specified with any individual CLASS variable, by default, PARAM=GLM. Otherwise, the default is PARAM=EFFECT. If PARAM=ORTHPOLY or PARAM=POLY, and the CLASS levels are numeric, then the ORDER= option in the CLASS statement is ignored, and the internal, unformatted values are used. See the section CLASS Variable Parameterization and the SPLIT Option in Chapter 48: The GLMSELECT Procedure, for more information.

The EFFECT, POLYNOMIAL, REFERENCE, and ORDINAL coding schemes and their orthogonal parameterizations are full rank. The REF= option in the CLASS statement determines the reference level for the EFFECT and REFERENCE schemes and their orthogonal parameterizations.

specifies the reference level for PARAM=EFFECT, PARAM=REFERENCE, and their orthogonalizations. For an individual (but not a global) REF= v-option, you can specify the level of the variable to use as the reference level. For a global or individual REF= v-option, you can specify REF=FIRST (which designates the first-ordered level as reference) or REF=LAST (which designates the last-ordered level as reference). The default is REF=LAST.

enables the columns of the design matrix that correspond to any effect that contains a split classification variable to be selected to enter or leave a model independently of the other design columns of that effect. For example, suppose a variable named temp has three levels with values hot, warm, and cold, and a variable named sex has two levels with values M and F. The following statements include SPLIT as a global v-option:

proc quantselect;
   class temp sex / split;
   model depVar = sex sex*temp;
run;

Because both the classification variables are split, the two effects named in the MODEL statement are split into eight effects. The effect sex is split into two effects labeled sex_M and sex_F. The effect sex*temp is split into six effects labeled sex_M*temp_hot, sex_F*temp_hot, sex_M*temp_warm, sex_F*temp_warm, sex_M*temp_cold, and sex_F*temp_cold. The previous PROC QUANTSELECT statements are equivalent to the following statements for the split version of the DATA= data set:

proc quantselect;
   model depVar =  sex_M sex_F sex_M*temp_hot  sex_F*temp_hot
                               sex_M*temp_warm sex_F*temp_warm
                               sex_M*temp_cold sex_F*temp_cold;
run;

You can specify the SPLIT option for individual classification variables. For example, consider the following PROC QUANTSELECT statements:

proc quantselect;
   class temp(split) sex;
   model depVar = sex sex*temp;
run;

In this case, the effect sex is not split, and the effect sex*temp is split into three effects labeled sex*temp_hot, sex*temp_warm, and sex*temp_cold. Furthermore each of these three split effects now has two parameters that correspond to the two levels of sex, and the previous PROC QUANTSELECT statements are equivalent to the following statements for the split version of the DATA= data set:

proc quantselect;
   class sex;
   model depVar = sex sex*temp_hot sex*temp_warm sex*temp_cold;
run;