Multivariate Analysis: Correspondence Analysis |
The Method Tab
You can use the Method tab (Figure 31.9)
to set options in the analysis. The tab supports the following
options:
- Cross levels of row variables
-
specifies that
each combination of levels for all row variables become a row label.
Otherwise,
each level of every row variable becomes a row label.
This corresponds to
the CROSS=ROW option in the PROC CORRESP statement.
- Cross levels of column variables
-
specifies that
each combination of levels for all column variables become a column label.
Otherwise,
each level of every column variable becomes a column label.
This corresponds to
the CROSS=COL option in the PROC CORRESP statement.
Selecting both of the previous options corresponds to
specifying the CROSS=BOTH
option in the PROC CORRESP statement; clearing both of the previous
options corresponds to specifying the CROSS=NONE option.
- Missing values
-
specifies whether to include observations with missing values
in the analysis.
- Exclude from analysis
- specifies that observations with missing values be excluded from the
analysis.
- Use as category levels
- specifies that missing values be
treated as a distinct level of each categorical variable. This
corresponds to the MISSING option
in the PROC CORRESP statement.
- Number of dimensions
-
specifies the number of principal coordinates to use for the analysis. You can
type a value in this field.
If your contingency table is an table, the number
of dimensions in the correspondence analysis is at most
.
This corresponds to the DIMENS= option
in the PROC CORRESP statement.
- Standardize coordinates from
-
specifies the standardization for the row and column coordinates.
This corresponds to the PROFILE= option
in the PROC CORRESP statement.
Figure 31.9: The Method Tab
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