SPSS® 12.0 Command Syntax Reference

286 Syntax Reference
PRINT Subcommand
column points. This is useful when you are primarily interested in differences
or similarities between categories of the row variable.
CPRINCIPAL Distances between column points are approximations of chi-square
distances or of Euclidean distances (depending on MEASURE). This method
maximizes distances between column points. The column points are weighted
averages of the row points. This is useful when you are primarily interested
in differences or similarities between categories of the column variable.
The fifth method allows the user to specify any value in the range –1 to +1, inclusive. A value
of 1 is equal to the RPRINCIPAL method, a value of 0 is equal to the SYMMETRICAL method,
and a value of –1 is equal to the CPRINCIPAL method. By specifying a value between –1 and
1, the user can spread the inertia over both row and column scores to varying degrees. This
method is useful for making tailor-made biplots.
Use PRINT to control which of several correspondence statistics are displayed. The summary
table (singular values, inertia, proportion of inertia accounted for, cumulative proportion of
inertia accounted for, and confidence statistics for the maximum number of dimensions) is
always produced. If PRINT is not specified, the input table, the summary table, the overview
of row points table, and the overview of column points table are displayed.
The following keywords are available:
TABLE A crosstabulation of the input variables showing row and column
marginals.
RPROFILES The row profiles. PRINT=RPROFILES is analogous to the CELLS=ROW
subcommand in CROSSTABS.
CPROFILES The column profiles. PRINT=CPROFILES is analogous to the CELLS=
COLUMN subcommand in CROSSTABS.
RPOINTS Overview of row points (mass, scores, inertia, contribution of the
points to the inertia of the dimension, and the contribution of the
dimensions to the inertia of the points).
CPOINTS Overview of column points (mass, scores, inertia, contribution of the
points to the inertia of the dimension, and the contribution of the
dimensions to the inertia of the points).
RCONF Confidence statistics (standard deviations and correlations) for the
active row points.
CCONF Confidence statistics (standard deviations and correlations) for the
active column points.
PERMUTATION(n) The original table permuted according to the scores of the rows and
columns. PERMUTATION can be followed by a number in parentheses
indicating the maximum number of dimensions for which you want
permuted tables. The default number of dimensions is 1.