is omitted, then data will be transformed by taking its natural logarithm instead of
raising to the power of @var{t}.
+@cindex Shapiro-Wilk
+When one or more plots are requested, @subcmd{EXAMINE} also performs the
+Shapiro-Wilk test for each category.
+There are however a number of provisos:
+@itemize
+@item All weight values must be integer.
+@item The cumulative weight value must be in the range [3, 5000]
+@end itemize
+
The @subcmd{COMPARE} subcommand is only relevant if producing boxplots, and it is only
useful there is more than one dependent variable and at least one factor.
If
[/CRITERIA=CLUSTERS(@var{k}) [MXITER(@var{max_iter})] CONVERGE(@var{epsilon}) [NOINITIAL]]
[/MISSING=@{EXCLUDE,INCLUDE@} @{LISTWISE, PAIRWISE@}]
[/PRINT=@{INITIAL@} @{CLUSTER@}]
+ [/SAVE[=[CLUSTER[(@var{membership_var})]] [DISTANCE[(@var{distance_var})]]]
@end display
The @cmd{QUICK CLUSTER} command performs k-means clustering on the
If @subcmd{CLUSTER} is set, the cluster memberships of the individual
cases will be displayed (potentially generating lengthy output).
+You can specify the subcommand @subcmd{SAVE} to ask that each case's cluster membership
+and the euclidean distance between the case and its cluster center be saved to
+a new variable in the active dataset. To save the cluster membership use the
+@subcmd{CLUSTER} keyword and to save the distance use the @subcmd{DISTANCE} keyword.
+Each keyword may optionally be followed by a variable in parenthesis to specify
+the new variable which is to contain the saved parameter.
@node RANK
@section RANK