Example: Correspondence Analysis

To create this example:

In SAS Studio, click and select New SAS Program.

Copy and paste this code into the Program tab.

data PhD;
   input Science $ 1-21 y1973-y1978;
   label y1973 = '1973' y1974 = '1974' y1975 = '1975' y1976 = '1976'
      y1977 = '1977' y1978 = '1978';
datalines;
Life Sciences        4489 4303 4402 4350 4266 4361
Physical Sciences    4101 3800 3749 3572	 3410 3234
Social Sciences      3354 3286 3344 3278 3137 3008
Behavioral Sciences  2444 2587 2749 2878	 2960 3049
Engineering          3338 3144 2959 2791 2641 2432
Mathematics          1222 1196 1149 1003 959 959
;

Click

to create the Work.PhD data set.

In the Tasks section, expand the Multivariate Analysis folder, and then double-click Correspondence Analysis. The user interface for the Correspondence Analysis task opens.
On the Data tab, select the WORK.PHD data set.

Tip
If the data set is not available from the drop-down list, click . In the Choose a Table window, expand the library that contains the data set that you want to use. Select the data set for the example and click OK. The selected data set should now appear in the drop-down list.
From the Data layout drop-down list, select Table data.

Assign columns to these roles:

Role or Option	Option Name or Column
Roles
Analysis	Simple correspondence analysis
Columns of the contingency table	y1973 y1974 y1975 y1976 y1977 y1978
Additional Roles
Label contingency table rows	Science

To run the task, click .

Here is a subset of the results: