You might have additional or supplementary data in the same form as the main data set that you are evaluating. These supplementary data could be further information from the same study, information from other studies, or target profiles. You can use the supplementary data to validate the components, often with a historical value or known standard. You can also explore the scores of auxiliary data, such as outliers that you remove from the analysis. Supplementary data appear in the output but do not affect the components.
- Supplementary
Rows
- Enter one or more columns that represent additional rows of the contingency table. Each column should contain a frequency for each row of the contingency table. For example, to add a supplementary row to a table that has 5 columns, enter a column that contains 5 frequencies. The frequencies are in the order of the columns of the contingency table.
- Supplementary
Columns
- Enter one or more columns that contain additional columns of the contingency table. Each column should contain a frequency for each row of the contingency table. For example, to add a supplementary column to a table that has 5 rows, enter a column that contains 5 frequencies. The frequencies are in the order of the rows of the contingency table.
- Row names
- Enter a column that contains the name of each supplementary row only (not column names). Minitab matches the order of the names with the order of the columns in Supplementary
Rows.
- Column
names
- Enter a column that contains text names for the supplementary columns only (not row names). Minitab matches the order of the names with the order of the columns in Supplementary
Columns.
