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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