T-TEST: Use correct keyword CI (instead of CIN) on CRITERIA subcommand.

[pspp] / doc / statistics.texi

diff --git a/doc/statistics.texi b/doc/statistics.texi
index d333de1db24acf10050b413ff000fc063f31f97c..60d665311c491c8263185bb83b38f741c114b0b1 100644 (file)
--- a/doc/statistics.texi
+++ b/doc/statistics.texi
@@ -709,6 +709,8 @@ FACTOR  VARIABLES=@var{var_list}
 
         [ /METHOD = @{CORRELATION, COVARIANCE@} ]
 
+        [ /ANALYSIS=@var{var_list} ]
+
         [ /EXTRACTION=@{PC, PAF@}] 
 
         [ /ROTATION=@{VARIMAX, EQUAMAX, QUARTIMAX, PROMAX[(@var{k})], NOROTATE@}]
@@ -727,7 +729,10 @@ FACTOR  VARIABLES=@var{var_list}
 The @cmd{FACTOR} command performs Factor Analysis or Principal Axis Factoring on a dataset.  It may be used to find
 common factors in the data or for data reduction purposes.
 
-The @subcmd{VARIABLES} subcommand is required.  It lists the variables which are to partake in the analysis.
+The @subcmd{VARIABLES} subcommand is required.  It lists the variables
+which are to partake in the analysis.  (The @subcmd{ANALYSIS}
+subcommand may optionally further limit the variables that
+participate; it is not useful and implemented only for compatibility.)
 
 The @subcmd{/EXTRACTION} subcommand is used to specify the way in which factors (components) are extracted from the data.
 If @subcmd{PC} is specified, then Principal Components Analysis is used.  
@@ -1437,7 +1442,7 @@ of variable preceding @subcmd{WITH} against variable following
 @display
 T-TEST
         /MISSING=@{ANALYSIS,LISTWISE@} @{EXCLUDE,INCLUDE@}
-        /CRITERIA=CIN(@var{confidence})
+        /CRITERIA=CI(@var{confidence})
 
 
 (One Sample mode.)