Optional Arguments

DATA=SAS-data-set

specifies the input SAS data set.

Restriction:You cannot use PROC STANDARD with an engine that supports concurrent access if another user is updating the data set at the same time.

See:Input Data Sets

EXCLNPWGT

excludes observations with nonpositive weight values (zero or negative). The procedure does not use the observation to calculate the mean and standard deviation, but the observation is still standardized. By default, the procedure treats observations with negative weights like those with zero weights and counts them in the total number of observations.

Alias:EXCLNPWGTS

MEAN=mean-value

standardizes variables to a mean of mean-value.

Default:mean of the input values

Example:Standardizing to a Given Mean and Standard Deviation

NOPRINT

suppresses the printing of the procedure output. NOPRINT is the default value.

OUT=SAS-data-set

specifies the output data set. If SAS-data-set does not exist, PROC STANDARD creates it. If you omit OUT=, the data set is named DATAn, where n is the smallest integer that makes the name unique.

Default:DATAn

Example:Standardizing to a Given Mean and Standard Deviation

PRESERVERAWBYVALUES

preserves raw by values of all BY variables when those variables are propagated to the output data set.

PRINT

prints the original frequency, mean, and standard deviation for each variable to standardize.

Example:Standardizing BY Groups and Replacing Missing Values

REPLACE

replaces missing values with the variable mean.

Interaction:If you use MEAN=, PROC STANDARD replaces missing values with the given mean.

Example:Standardizing BY Groups and Replacing Missing Values

STD=std-value

standardizes variables to a standard deviation of std-value.

Default:standard deviation of the input values

Example:Standardizing to a Given Mean and Standard Deviation

VARDEF=divisor

specifies the divisor to use in the calculation of variances and standard deviation. The following table shows the possible values for divisor and the associated divisors.

Possible Values for VARDEF=

Value	Divisor	Formula for Divisor
DF	Degrees of freedom	n − 1
N	Number of observations	n
WDF	Sum of weights minus one	(Σiwi) − 1
WEIGHT|WGT	Sum of weights	Σiwi

The procedure computes the variance as , where is the corrected sums of squares and equals . When you weight the analysis variables, equals where is the weighted mean.

Default:DF

Tips:When you use the WEIGHT statement and VARDEF=DF, the variance is an estimate of , where the variance of the ith observation is and is the weight for the ith observation. This yields an estimate of the variance of an observation with unit weight.

When you use the WEIGHT statement and VARDEF=WGT, the computed variance is asymptotically (for large n) an estimate of , where is the average weight. This yields an asymptotic estimate of the variance of an observation with average weight.

See:WEIGHT

Keywords and Formulas