MEANS: implemented the /CELLS={ALL,NONE,DEFAULT} options and added a test
authorJohn Darrington <john@darrington.wattle.id.au>
Mon, 16 Jan 2012 08:49:50 +0000 (09:49 +0100)
committerJohn Darrington <john@darrington.wattle.id.au>
Mon, 16 Jan 2012 16:57:33 +0000 (17:57 +0100)
src/language/stats/means.c
tests/language/stats/means.at

index 0ddadf8009de38a81a962f495120fad85b8a08e8..874ddda8b256d8030ebdf42558608dde68ce89d3 100644 (file)
@@ -395,6 +395,13 @@ first_get (const struct per_var_data *pvd UNUSED,  void *stat)
   return *f;
 }
 
+enum 
+  {
+    MEANS_MEAN = 0,
+    MEANS_N,
+    MEANS_STDDEV
+  };
+
 /* Table of cell_specs */
 static const struct cell_spec cell_spec[] = {
   {N_("Mean"), "MEAN", NULL, NULL, arithmean_get},
@@ -699,17 +706,44 @@ cmd_means (struct lexer *lexer, struct dataset *ds)
          while (lex_token (lexer) != T_ENDCMD
                 && lex_token (lexer) != T_SLASH)
            {
-             int k;
-             for (k = 0; k < n_C; ++k)
+             int k = 0;
+             if (lex_match (lexer, T_ALL))
                {
-                 if (lex_match_id (lexer, cell_spec[k].keyword))
-                   {
-                     means.cells =
-                       xrealloc (means.cells,
-                                 ++means.n_cells * sizeof (*means.cells));
+                 int x;
+                 means.cells =
+                   xrealloc (means.cells,
+                             (means.n_cells += n_C) * sizeof (*means.cells));
 
-                     means.cells[means.n_cells - 1] = k;
-                     break;
+                 for (x = 0; x < n_C; ++x)
+                   means.cells[means.n_cells - (n_C - 1 - x) - 1] = x;
+               }
+             else if (lex_match_id (lexer, "NONE"))
+               {
+                 /* Do nothing */
+               }
+             else if (lex_match_id (lexer, "DEFAULT"))
+               {
+                 means.cells =
+                   xrealloc (means.cells,
+                             (means.n_cells += 3) * sizeof (*means.cells));
+                 
+                 means.cells[means.n_cells - 2 - 1] = MEANS_MEAN;
+                 means.cells[means.n_cells - 1 - 1] = MEANS_N;
+                 means.cells[means.n_cells - 0 - 1] = MEANS_STDDEV;
+               }
+             else
+               {
+                 for (; k < n_C; ++k)
+                   {
+                     if (lex_match_id (lexer, cell_spec[k].keyword))
+                       {
+                         means.cells =
+                           xrealloc (means.cells,
+                                     ++means.n_cells * sizeof (*means.cells));
+                       
+                         means.cells[means.n_cells - 1] = k;
+                         break;
+                       }
                    }
                }
              if (k >= n_C)
index 51d74e2eb725af9b8a43c51d83b470a775d475f6..a69051b1adca55677a61dd80810ae5d091472534 100644 (file)
@@ -263,3 +263,65 @@ y,3.0000,3.0000,3.0000
 ])
 
 AT_CLEANUP
+
+
+
+
+
+
+AT_SETUP([MEANS all/none/default])
+
+dnl Make sure that /CELLS = {ALL,NONE,DEFAULT} work properly
+AT_DATA([means-stat-keywords.sps], [dnl
+SET FORMAT=F12.2.
+SET DECIMAL=DOT.
+
+DATA LIST NOTABLE LIST /score *.
+BEGIN DATA.
+22
+22
+29
+16
+23
+END DATA.
+
+MEANS score /CELLS = ALL.
+MEANS score /CELLS = DEFAULT.
+MEANS score /CELLS = NONE.
+])
+
+
+AT_CHECK([pspp -O format=csv means-stat-keywords.sps], [0],
+  [dnl
+Table: Case Processing Summary
+,Cases,,,,,
+,Included,,Excluded,,Total,
+,N,Percent,N,Percent,N,Percent
+score: ,5,100%,0,0%,5,100%
+
+Table: Report
+,Mean,N,Std. Deviation,S.E. Mean,Sum,Min,Max,Range,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,First,Last,Harmonic Mean,Geom. Mean
+score,22.40,5.00,4.62,2.06,112.00,16.00,29.00,13.00,21.30,1.85,2.00,.11,.91,22.00,23.00,21.61,22.01
+
+Table: Case Processing Summary
+,Cases,,,,,
+,Included,,Excluded,,Total,
+,N,Percent,N,Percent,N,Percent
+score: ,5,100%,0,0%,5,100%
+
+Table: Report
+,Mean,N,Std. Deviation
+score,22.40,5.00,4.62
+
+Table: Case Processing Summary
+,Cases,,,,,
+,Included,,Excluded,,Total,
+,N,Percent,N,Percent,N,Percent
+score: ,5,100%,0,0%,5,100%
+
+Table: Report
+
+score
+])
+
+AT_CLEANUP