Identifies numeric variables to use as analysis variables.
Alias: |
VARIABLES
|
Tip: |
You can use multiple VAR statements.
|
VAR analysis-variable(s) </
option(s)>;
|
-
analysis-variable(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. |
-
STYLE=<style-element-name|<PARENT>>[style-attribute-name=style-attribute-value<...
style-attribute-name=style-attribute-value>]
-
specifies a style element for analysis variable
name headings. For more information about the arguments of this option, see STYLE= in
the PROC TABULATE statement.
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. ![[cautionend]](../../../../common/63294/HTML/default/images/cautend.gif)
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. |
Featured in: |
Specifying Style Elements for ODS Output |
-
WEIGHT=weight-variable
-
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
Weight value... |
PROC TABULATE... |
0 |
counts the observation in the total number of observations |
less than 0 |
converts the value to zero and counts the observation
in the total number of observations |
missing |
excludes the observation |
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. |
Tip: |
When you use the WEIGHT=
option, consider which value of the VARDEF= option is appropriate. (See the
discussion of VARDEF= .) |
Tip: |
Use the WEIGHT option in
multiple VAR statements to specify different weights for the analysis variables. |
Note: Before Version 7 of SAS, the procedure did not
exclude the observations with missing weights from the count of observations. ![[cautionend]](../../../../common/63294/HTML/default/images/cautend.gif)
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