gtkxpaned: Use g_object_unref() instead of gdk_cursor_unref().

[pspp] / doc / statistics.texi

diff --git a/doc/statistics.texi b/doc/statistics.texi
index 5723323337559ec4076be50b300d9b8152e1a1c2..0f1c886f1b2eb70eaca03b7edc1de6e298ad948d 100644 (file)
--- a/doc/statistics.texi
+++ b/doc/statistics.texi
@@ -73,6 +73,8 @@ names ZSC000 through ZSC999, STDZ00 through STDZ09, ZZZZ00 through
 ZZZZ09, ZQZQ00 through ZQZQ09, in that sequence.  In addition, Z score
 variable names can be specified explicitly on @subcmd{VARIABLES} in the variable
 list by enclosing them in parentheses after each variable.
 ZZZZ09, ZQZQ00 through ZQZQ09, in that sequence.  In addition, Z score
 variable names can be specified explicitly on @subcmd{VARIABLES} in the variable
 list by enclosing them in parentheses after each variable.

+When Z scores are calculated, @pspp{} ignores @cmd{TEMPORARY},
+treating temporary transformations as permanent.

 
 The @subcmd{STATISTICS} subcommand specifies the statistics to be displayed:
 
 
 The @subcmd{STATISTICS} subcommand specifies the statistics to be displayed:
 


@@ -741,7 +743,8 @@ LOGISTIC REGRESSION [VARIABLES =] @var{dependent_var} WITH @var{predictors}
      [/PRINT = [SUMMARY] [DEFAULT] [CI(@var{confidence})] [ALL]]
 
      [/CRITERIA = [BCON(@var{min_delta})] [ITERATE(@var{max_interations})]
      [/PRINT = [SUMMARY] [DEFAULT] [CI(@var{confidence})] [ALL]]
 
      [/CRITERIA = [BCON(@var{min_delta})] [ITERATE(@var{max_interations})]

-                  [LCON(@var{min_likelihood_delta})] [EPS(@var{min_epsilon})]]
+                  [LCON(@var{min_likelihood_delta})] [EPS(@var{min_epsilon})]
+                  [CUT(@var{cut_point})]]

 
      [/MISSING = @{INCLUDE|EXCLUDE@}]
 @end display
 
      [/MISSING = @{INCLUDE|EXCLUDE@}]
 @end display


@@ -773,10 +776,14 @@ If you want a model without the constant term @math{b_0}, use the keyword @subcm
 @subcmd{/NOCONST} is a synonym for @subcmd{/ORIGIN}.
 
 An iterative Newton-Raphson procedure is used to fit the model.
 @subcmd{/NOCONST} is a synonym for @subcmd{/ORIGIN}.
 
 An iterative Newton-Raphson procedure is used to fit the model.

-The @subcmd{/CRITERIA} subcommand is used to specify the stopping criteria of the procedure.
+The @subcmd{/CRITERIA} subcommand is used to specify the stopping criteria of the procedure,
+and other parameters.
+The value of @var{cut_point} is used in the classification table.  It is the 
+threshold above which predicted values are considered to be 1.  Values
+of @var{cut_point} must lie in the range [0,1].

 During iterations, if any one of the stopping criteria are satisfied, the procedure is
 considered complete.
 During iterations, if any one of the stopping criteria are satisfied, the procedure is
 considered complete.

-The criteria are:
+The stopping criteria are:

 @itemize
 @item The number of iterations exceeds @var{max_iterations}.  
       The default value of @var{max_iterations} is 20.
 @itemize
 @item The number of iterations exceeds @var{max_iterations}.  
       The default value of @var{max_iterations} is 20.


@@ -790,6 +797,7 @@ In other words, the probabilities are close to zero or one.
 The default value of @var{min_epsilon} is 0.00000001.
 @end itemize
 
 The default value of @var{min_epsilon} is 0.00000001.
 @end itemize
 

+

 The @subcmd{PRINT} subcommand controls the display of optional statistics.
 Currently there is one such option, @subcmd{CI}, which indicates that the 
 confidence interval of the odds ratio should be displayed as well as its value.
 The @subcmd{PRINT} subcommand controls the display of optional statistics.
 Currently there is one such option, @subcmd{CI}, which indicates that the 
 confidence interval of the odds ratio should be displayed as well as its value.