The STDIZE Procedure

Output Data Sets

OUT= Data Set

By default, the output data set is a copy of the DATA= data set except that the analyzed variables have been standardized. Analyzed variables are those specified in the VAR statement or, if there is no VAR statement, all numeric variables not listed in any other statement. However, you can use the OPREFIX option to request that both the original and standardized variables be included in the output data set. You can change variable names by specifying prefixes with the OPREFIX=o-prefix and SPREFIX=s-prefix options, but keep in mind that the two prefixes must be different. See OPREFIX and SPREFIX for more information.

OUTSTAT= Data Set

The new data set contains the following variables:

the BY variables, if any
_TYPE_, a character variable
the analyzed variables

Each observation in the new data set contains a type of statistic as indicated by the _TYPE_ variable. The values of the _TYPE_ variable are as follows:

LOCATION: location measure of each variable
SCALE: scale measure of each variable
ADD: constant specified in the ADD= option. This value is the same for each variable.
MULT: constant specified in the MULT= option. This value is the same for each variable.
N: total number of nonmissing positive frequencies of each variable
NORM: norm measure of each variable. This observation is produced only when you specify the NORM option with METHOD=AGK, METHOD=IQR, METHOD=MAD, or METHOD=SPACING or when you specify the SNORM option with METHOD=SPACING.
NObsRead: number of physical records read
NObsUsed: number of physical records used in the analysis
NObsMiss: number of physical records containing missing values
Pn: percentiles of each variable, as specified by the PCTLPTS= option. The argument n is any real number such that
SumFreqsRead: sum of the frequency variable (or the sum of NObsUsed ones when there is no frequency variable) for all observations read
SumFreqsUsed: sum of the frequency variable (or the sum of NObsUsed ones when there is no frequency variable) for all observations used in the analysis
SumWeightsRead: sum of the weight variable (or the sum of NObsUsed ones when there is no weight variable) for all observations read
SumWeightsUsed: sum of the weight variable (or the sum of NObsUsed ones when there is no weight variable) for all observations used in the analysis