The DMDB Procedure
CLASS Statement
Specifies the variables whose values define subgroup combinations for the analysis.
INTERACTION: CLASS, ID, and VAR statements are mutually exclusive.
CLASS variable(s) < ORDER=order-option(s)>;
Required Argument
variable(s)
Specifies one or more categorical variables to be used in the analysis. For each CLASS variable,
the metadata contains information on each of the following: its class level value, its frequency,
and its ordering information.
Range:
variable(s) can be character or numeric.
Options
ORDER
Specifies the order to use when considering the levels of classification variables (specified in the
CLASS statement) to be sorted. order-option(s) may be one of the following:
ASCENDING | ASC
Class levels are arranged in lowest-to-highest order of unformatted values.
DESCENDING | DESC
Class levels are arranged in highest-to-lowest order of unformatted values.
ASCFORMATTED | ASCFMT
Class levels are arranged in ascending order by their formatted values.
DESFORMATTED | DESFMT
Class levels are arranged in descending order by their formatted values.
DSORDER | DATA
Class levels are arranged according to the order of their appearance in the input data set.
Default:
ASCENDING
Copyright 2000 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
The DMDB Procedure
FREQ Statement
Specifies a numeric variable that contains the frequency of each observation.
FREQ variable;
Required Argument
variable
Specifies a numeric variable whose value represents the frequency of the observation.
Default:
If variable is 0 or missing, then the observation is omitted in the DMDB and
is not included in statistical calculations.
Copyright 2000 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
The DMDB Procedure
ID Statement
Includes additional variables in the output data set.
INTERACTION: CLASS, ID, and VAR statements are mutually exclusive.
ID variable(s);
Required Argument
variable(s)
Identifies one or more variables from the input data set whose maximum values for groups of
observations are included in the output data set by PROC DMDB.
Range:
variable(s) can be character or numeric.
Copyright 2000 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
The DMDB Procedure
TARGET Statement
Specifies variables to be created for the output data set.
TARGET variable(s);
Required Argument
variable(s)
Identifies TARGET variables. Variables must also be specified in the VAR or CLASS variable
lists.
Range:
variable(s) can be character or numeric.
Copyright 2000 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
The DMDB Procedure
VARIABLE Statement
Identifies the analysis variables and their order in the results.
INTERACTION: CLASS, ID, and VAR statements are mutually exclusive.
Alias: VAR
VARIABLE variable(s) WEIGHT= weight-variable>;
Required Argument
variable(s)
Identifies the analysis variables and specifies their order in the results.
The metadata catalog contains the following statistics for the VAR variables: N, NMISS, MIN,
MAX, SUM, SUMWGT, CSS, USS, STD, SKEWNESS, and KURTOSIS.
Default:
If you omit the VAR statement, PROC DMDB analyzes all numeric variables
not listed in the other statements.
Range:
variable(s) are numeric only.
Options
WEIGHT=weight-variable
Specifies a numeric variable whose values weight the variables specified in the VAR statement.
Tip:
When you use the WEIGHT= option, consider which value of the VARDEF=
option is appropriate. See the
VARDEF= option
for more information.
Copyright 2000 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
The DMDB Procedure
WEIGHT Statement
Specifies weights for observations in the statistical calculations.
Interaction: If you use the WEIGHT statement, you cannot compute SKEWNESS and KURTOSIS.
WEIGHT variable;
Required Argument
variable
Specifies a numeric variable whose value weights the analysis variables in each observation. The
variable value does not have to be an integer.
Default:
If the value of variable is less than 0 or is missing, the procedure uses a value
of 0.
Range:
variable can be an integer or non-integer number.
Copyright 2000 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
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