TABULATE Procedure
VAR Statement
Identifies numeric variables to use as analysis
variables.
Syntax
Required Argument
 analysisvariable(s);

identifies the analysis
variables in the table. Analysis variables are numeric variables for
which PROC TABULATE calculates statistics. The values of an analysis
variable can be continuous or discrete.
If an observation contains
a missing value for an analysis variable, then PROC TABULATE omits
that value from calculations of all statistics except N (the number
of observations with nonmissing variable values) and NMISS (the number
of observations with missing variable values). For example, the missing
value does not increase the SUM, and it is not counted when you are
calculating statistics such as the MEAN.
Interaction:If a variable name and a statistic name are the
same, enclose the statistic name in single or double quotation marks.
Optional Arguments
 STYLE=<styleelementname<PARENT>>[styleattributename=styleattributevalue<… styleattributename=styleattributevalue>]

specifies a style element
for analysis variable name headings.
For more information
about the arguments of this option, see STYLE= .
Note: The use of STYLE= in the
VAR statement differs slightly from its use in the PROC TABULATE statement.
In the VAR statement, inheritance is different for rows and columns.
For rows, the parent heading is located to the left of the current
heading. For columns, the parent heading is located above the current
heading.
Alias:S=
Restriction:This option affects only the HTML, RTF, and Printer destinations.
Tip:To override a style element that is specified in the VAR
statement, you can specify a style element in the related TABLE statement
dimension expression.
 WEIGHT=weightvariable

specifies a numeric
variable whose values weight the values of the variables that are
specified in the VAR statement. The variable does not have to be an
integer. If the value of the weight variable is



Counts the observation
in the total number of observations


Converts the value to
zero and counts the observation in the total number of observations



To exclude observations
that contain negative and zero weights from the analysis, use EXCLNPWGT.
Note that most
SAS/STAT procedures, such as PROC GLM, exclude negative
and zero weights by default.
Restriction:To compute weighted quantiles, use QMETHOD=OS in the
PROC statement.
Note:Prior to Version 7 of SAS, the procedure did not exclude
the observations with missing weights from the count of observations.
Tips:When you use the WEIGHT= option, consider
which value of the VARDEF= option is appropriate.
See the discussion of VARDEF=divisor .
Use the WEIGHT option in multiple VAR statements to specify
different weights for the analysis variables.
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