X-Git-Url: https://pintos-os.org/cgi-bin/gitweb.cgi?a=blobdiff_plain;f=doc%2Fstatistics.texi;h=522ef4d3100a2132ec5752da4b180eac7a36a82a;hb=db7a0df40c17c140ab56e2e7dbabe8a6896cfd07;hp=ef31166fd1d8882a09f98ac553138cb12b31653f;hpb=691a034d7f2139076fa012739dffd40ef5db4a9b;p=pspp

diff --git a/doc/statistics.texi b/doc/statistics.texi
index ef31166fd1..522ef4d310 100644
--- a/doc/statistics.texi
+++ b/doc/statistics.texi
@@ -70,11 +70,8 @@ excluded on a variable by variable basis; if @subcmd{LISTWISE} is set, then
 the entire case is excluded whenever any value in that case has a
 system-missing or, if @subcmd{INCLUDE} is set, user-missing value.
 
-The @subcmd{FORMAT} subcommand affects the output format.  Currently the
-@subcmd{LABELS/NOLABELS} and @subcmd{NOINDEX/INDEX} settings are not used.
-When @subcmd{SERIAL} is
-set, both valid and missing number of cases are listed in the output;
-when @subcmd{NOSERIAL} is set, only valid cases are listed.
+The @subcmd{FORMAT} subcommand has no effect.  It is accepted for
+backward compatibility.
 
 The @subcmd{SAVE} subcommand causes @cmd{DESCRIPTIVES} to calculate Z scores for all
 the specified variables.  The Z scores are saved to new variables.
@@ -334,6 +331,15 @@ Zero, however is a special value.  If @var{t} is 0 or
 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 
@@ -646,8 +652,7 @@ When set to @subcmd{TABLE}, the default, missing values are dropped on a table b
 table basis.  When set to @subcmd{INCLUDE}, user-missing values are included in
 tables and statistics.  When set to @subcmd{REPORT}, which is allowed only in
 integer mode, user-missing values are included in tables but marked with
-an @samp{M} (for ``missing'') and excluded from statistical
-calculations.
+a footnote and excluded from statistical calculations.
 
 Currently the @subcmd{WRITE} subcommand is ignored.
 
@@ -834,7 +839,7 @@ individual data cases.  Typically the matrix file will have been generated by
 If specified, @subcmd{MATRIX IN} must be followed by @samp{COV} or @samp{CORR},
 then by @samp{=} and @var{file_spec} all in parentheses.
 @var{file_spec} may either be an asterisk, which indicates the currently loaded
-dataset, or it may be a filename to be loaded. @xref{MATRIX DATA} for the expected
+dataset, or it may be a filename to be loaded. @xref{MATRIX DATA}, for the expected
 format of the file.
 
 The @subcmd{/EXTRACTION} subcommand is used to specify the way in which factors (components) are extracted from the data.
@@ -1092,7 +1097,7 @@ MEANS [TABLES =]
         [ALL]
         [NONE] ]
 
-      [/MISSING = [TABLE] [INCLUDE] [DEPENDENT]]
+      [/MISSING = [INCLUDE] [DEPENDENT]]
 @end display 
 
 You can use the @cmd{MEANS} command to calculate the arithmetic mean and similar
@@ -1196,10 +1201,6 @@ encountered.
 This behaviour can be modified with the  @subcmd{/MISSING} subcommand.
 Three options are possible: @subcmd{TABLE}, @subcmd{INCLUDE} and @subcmd{DEPENDENT}.
 
-@subcmd{/MISSING = TABLE} causes cases to be dropped if any variable is missing 
-in the table specification currently being processed, regardless of 
-whether it is needed to calculate the statistic.
-
 @subcmd{/MISSING = INCLUDE} says that user missing values, either in the dependent
 variables or in the categorical variables should be taken at their face
 value, and not excluded.
@@ -1814,6 +1815,7 @@ QUICK CLUSTER @var{var_list}
       [/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
@@ -1866,6 +1868,13 @@ be printed.
 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 name in parentheses to specify
+the new variable which is to contain the saved parameter.  If no variable name is specified,
+then PSPP will create one.
 
 @node RANK
 @section RANK