pivot-output: Replicate dimension headings when divided by vertical rules.

This introduces a comment into compose_headings() that explains the
problem that it fixes.

diff --git a/src/output/pivot-output.c b/src/output/pivot-output.c
index 7d5ee7a9fcf5888ddb01cbf438fd00f177a4e9e4..6f92f87c966cfccbad2a372133f6f13f8507e972 100644 (file)
--- a/src/output/pivot-output.c
+++ b/src/output/pivot-output.c
@@ -44,7 +44,9 @@ find_category (const struct pivot_dimension *d, int dim_index,
   for (const struct pivot_category *c = d->presentation_leaves[index];
        c; c = c->parent)
     {
-      if (!row_ofs)
+      /* A category can covert multiple rows.  Only return the category for its
+         top row. */
+      if (row_ofs == c->extra_depth)
         return c;
 
       row_ofs -= 1 + c->extra_depth;
@@ -213,9 +215,60 @@ compose_headings (struct table *t,
   if (!a_axis->n_dimensions || !n_columns || !b_size)
     return;
 
-  int bottom_row = b_size - 1;
   const int stride = MAX (1, a_axis->n_dimensions);
-  for (int dim_index = 0; dim_index < a_axis->n_dimensions; dim_index++)
+
+  /* Below, we're going to iterate through the dimensions.  Each dimension
+     occupies one or more rows in the heading.  'top_row' is the top row of
+     these (and 'top_row + d->label_depth - 1' is the bottom row). */
+  int top_row = 0;
+
+  /* We're going to iterate through dimensions and the rows that label them
+     from top to bottom (from outer to inner dimensions).  As we move downward,
+     we start drawing vertical rules to separate categories and groups.  After
+     we start drawing a vertical rule in a particular horizontal position, it
+     continues until the bottom of the heading.  vrules[pos] indicates whether,
+     in our current row, we have already started drawing a vertical rule in
+     horizontal position 'pos'.  (There are n_columns + 1 horizontal positions.
+     We allocate all of them for convenience below but only the inner n_columns
+     - 1 of them really matter.)
+
+     Here's an example that shows how vertical rules continue all the way
+     downward:
+
+     +-----------------------------------------------------+ __
+     |                         bbbb                        |  |
+     +-----------------+-----------------+-----------------+  |dimension "bbbb"
+     |      bbbb1      |      bbbb2      |      bbbb3      | _|
+     +-----------------+-----------------+-----------------+ __
+     |       aaaa      |       aaaa      |       aaaa      |  |
+     +-----+-----+-----+-----+-----+-----+-----+-----+-----+  |dimension "aaaa"
+     |aaaa1|aaaa2|aaaa3|aaaa1|aaaa2|aaaa3|aaaa1|aaaa2|aaaa3| _|
+     +-----+-----+-----+-----+-----+-----+-----+-----+-----+
+
+     ^     ^     ^     ^     ^     ^     ^     ^     ^     ^
+     |     |     |     |     |     |     |     |     |     |
+     0     1     2     3     4     5     6     7     8     9
+     |___________________vrules[] indexes__________________|
+
+     Our data structures are more naturally iterated from bottom to top (inner
+     to outer dimensions).  A previous version of this code actually worked
+     like that, but it didn't draw all of the vertical lines correctly as shown
+     above.  It ended up rendering the above heading much like shown below,
+     which isn't what users expect.  The "aaaa" label really needs to be shown
+     three times for clarity:
+
+     +-----------------------------------------------------+
+     |                         bbbb                        |
+     +-----------------+-----------------+-----------------+
+     |      bbbb1      |      bbbb2      |      bbbb3      |
+     +-----------------+-----------------+-----------------+
+     |                 |       aaaa      |                 |
+     +-----+-----+-----+-----+-----+-----+-----+-----+-----+
+     |aaaa1|aaaa2|aaaa3|aaaa1|aaaa2|aaaa3|aaaa1|aaaa2|aaaa3|
+     +-----+-----+-----+-----+-----+-----+-----+-----+-----+
+  */
+  bool *vrules = xzalloc (n_columns + 1);
+  for (int dim_index = a_axis->n_dimensions; --dim_index >= 0; )
     {
       const struct pivot_dimension *d = a_axis->dimensions[dim_index];
       if (d->hide_all_labels)
@@ -226,7 +279,8 @@ compose_headings (struct table *t,
           for (size_t x1 = 0; x1 < n_columns;)
             {
               const struct pivot_category *c = find_category (
-                d, dim_index, column_enumeration + x1 * stride, row_ofs);
+                d, dim_index, column_enumeration + x1 * stride,
+                d->label_depth - row_ofs - 1);
               if (!c)
                 {
                   x1++;
@@ -236,14 +290,17 @@ compose_headings (struct table *t,
               size_t x2;
               for (x2 = x1 + 1; x2 < n_columns; x2++)
                 {
+                  if (vrules[x2])
+                    break;
                   const struct pivot_category *c2 = find_category (
-                    d, dim_index, column_enumeration + x2 * stride, row_ofs);
+                    d, dim_index, column_enumeration + x2 * stride,
+                    d->label_depth - row_ofs - 1);
                   if (c != c2)
                     break;
                 }
 
-              int y1 = bottom_row - row_ofs - c->extra_depth;
-              int y2 = bottom_row - row_ofs + 1;
+              int y1 = top_row + row_ofs;
+              int y2 = top_row + row_ofs + c->extra_depth + 1;
               bool is_outer_row = y1 == 0;
               bool is_inner_row = y2 == b_size;
               if (pivot_category_is_leaf (c) || c->show_label)
@@ -267,6 +324,7 @@ compose_headings (struct table *t,
                            : cat_col_vert);
                       draw_line (t, borders, style, b, x2 + a_ofs, y1,
                                  t->n[b] - 1);
+                      vrules[x2] = true;
                     }
                   if (pivot_category_is_leaf (c) && x1 > 0)
                     {
@@ -276,12 +334,12 @@ compose_headings (struct table *t,
                            : cat_col_vert);
                       draw_line (t, borders, style, b, x1 + a_ofs, y1,
                                  t->n[b] - 1);
+                      vrules[x1] = true;
                     }
                 }
               if (c->parent && c->parent->show_label)
                 draw_line (t, borders, cat_col_horz, a, y1,
                            x1 + a_ofs, x2 + a_ofs - 1);
-
               x1 = x2;
             }
         }
@@ -291,19 +349,19 @@ compose_headings (struct table *t,
           int bb[TABLE_N_AXES][2];
           bb[a][0] = 0;
           bb[a][1] = a_ofs - 1;
-          bb[b][0] = bottom_row - d->label_depth + 1;
-          bb[b][1] = bottom_row;
+          bb[b][0] = top_row;
+          bb[b][1] = top_row + d->label_depth - 1;
           fill_cell (t, bb[H][0], bb[V][0], bb[H][1], bb[V][1],
                      corner_style, PIVOT_AREA_CORNER, d->root->name, footnotes,
                      show_values, show_variables, false);
         }
 
       if (dim_index > 1)
-        draw_line (t, borders, dim_col_horz, a, bottom_row + 1, a_ofs,
+        draw_line (t, borders, dim_col_horz, a, top_row, a_ofs,
                    t->n[a] - 1);
-
-      bottom_row -= d->label_depth;
+      top_row += d->label_depth;
     }
+  free (vrules);
 }
 
 static void

diff --git a/tests/language/lexer/variable-parser.at b/tests/language/lexer/variable-parser.at
index 2e22934ab391ac0ab366e69750593dcb42fd790e..2591ef276b65638a5375ff40fc4683db1a1ca50a 100644 (file)
--- a/tests/language/lexer/variable-parser.at
+++ b/tests/language/lexer/variable-parser.at
@@ -55,13 +55,13 @@ Table: X × Yabbadabbadoo
 ,,,Yabbadabbadoo,,,,,,,Total
 ,,,1.00,2.00,3.00,4.00,5.00,6.00,7.00,
 X,1.00,Count,0,0,0,0,0,0,0,0
-,2.00,,0,0,0,0,0,0,0,0
-,3.00,,0,0,0,0,0,0,0,0
-,4.00,,0,0,0,0,1,0,0,1
-,5.00,,0,0,0,0,0,0,0,0
-,6.00,,0,0,0,0,0,0,0,0
-,7.00,,0,0,0,0,0,0,0,0
-Total,,,0,0,0,0,1,0,0,1
+,2.00,Count,0,0,0,0,0,0,0,0
+,3.00,Count,0,0,0,0,0,0,0,0
+,4.00,Count,0,0,0,0,1,0,0,1
+,5.00,Count,0,0,0,0,0,0,0,0
+,6.00,Count,0,0,0,0,0,0,0,0
+,7.00,Count,0,0,0,0,0,0,0,0
+Total,,Count,0,0,0,0,1,0,0,1
 ])
 AT_CLEANUP
 

diff --git a/tests/language/stats/crosstabs.at b/tests/language/stats/crosstabs.at
index de13f1b6b12e651e72ed1cc47d67dacf679be2c9..91ff4393eec04fbb7ff12ab4a96e9fbd9cd3864a 100644 (file)
--- a/tests/language/stats/crosstabs.at
+++ b/tests/language/stats/crosstabs.at
@@ -44,13 +44,13 @@ Table: X × Y
 ,,,Y,,,,,,,Total
 ,,,1.00,2.00,3.00,4.00,5.00,6.00,7.00,
 X,1.00,Count,0,0,0,0,0,0,0,0
-,2.00,,0,0,0,0,0,0,0,0
-,3.00,,0,0,0,0,0,0,0,0
-,4.00,,0,0,0,0,1,0,0,1
-,5.00,,0,0,0,0,0,0,0,0
-,6.00,,0,0,0,0,0,0,0,0
-,7.00,,0,0,0,0,0,0,0,0
-Total,,,0,0,0,0,1,0,0,1
+,2.00,Count,0,0,0,0,0,0,0,0
+,3.00,Count,0,0,0,0,0,0,0,0
+,4.00,Count,0,0,0,0,1,0,0,1
+,5.00,Count,0,0,0,0,0,0,0,0
+,6.00,Count,0,0,0,0,0,0,0,0
+,7.00,Count,0,0,0,0,0,0,0,0
+Total,,Count,0,0,0,0,1,0,0,1
 ]])
 AT_CLEANUP
 
@@ -82,9 +82,9 @@ Table: x × y
 ,,,y,,,,,,,Total
 ,,,1.00,2.00,3.00,4.00,5.00,6.00,7.00,
 x,1.00,Count,,,,,,,,
-,2.00,,,,,,,,,
-,3.00,,,,,,,,,
-Total,,,,,,,,,,
+,2.00,Count,,,,,,,,
+,3.00,Count,,,,,,,,
+Total,,Count,,,,,,,,
 ]])
 AT_CLEANUP
 
@@ -124,9 +124,9 @@ Table: x × y
 ,,,y,,,,Total
 ,,,one unity,three lots,two duality,zero none,
 x,1.00,Count,1,0,0,1,2
-,2.00,,0,0,1,0,1
-,3.00,,0,1,0,0,1
-Total,,,1,1,1,1,4
+,2.00,Count,0,0,1,0,1
+,3.00,Count,0,1,0,0,1
+Total,,Count,1,1,1,1,4
 ]])
 AT_CLEANUP
 
@@ -183,8 +183,8 @@ Table: y × z
 ,,,z,,Total
 ,,,1,2,
 y,1,Count,4,3,7
-,2,,1,1,2
-Total,,,5,4,9
+,2,Count,1,1,2
+Total,,Count,5,4,9
 ])
 AT_CLEANUP
 
@@ -220,9 +220,9 @@ Table: x × y
 ,,,y,,Total
 ,,,1.00,2.00,
 x,2.00,Count,0,1,1
-,3.00,,1,0,1
-,4.00,,1,1,2
-Total,,,2,2,4
+,3.00,Count,1,0,1
+,4.00,Count,1,1,2
+Total,,Count,2,2,4
 
 Table: Chi-Square Tests
 ,Value,df,Asymptotic Sig. (2-tailed)
@@ -385,16 +385,16 @@ Table: x × y × z
 ,,,,,y,,Total
 ,,,,,1,2,
 z,1,x,1,Count,1,0,1
-,,,3,,0,0,1
-,,,5,,1,0,1
-,,,7,,0,0,1
-,,,8,,0,1,1
-,,Total,,,4,1,5
-,2,x,2,,0,0,1
-,,,4,,0,1,1
-,,,6,,0,0,1
-,,,9,,1,0,1
-,,Total,,,3,1,4
+,,,3,Count,0,0,1
+,,,5,Count,1,0,1
+,,,7,Count,0,0,1
+,,,8,Count,0,1,1
+,,Total,,Count,4,1,5
+,2,x,2,Count,0,0,1
+,,,4,Count,0,1,1
+,,,6,Count,0,0,1
+,,,9,Count,1,0,1
+,,Total,,Count,3,1,4
 
 Table: Chi-Square Tests
 ,,,Value,df,Asymptotic Sig. (2-tailed)
@@ -497,8 +497,8 @@ Table: x × y
 ,,,y,,Total
 ,,,1.00,2.00,
 x,1.00,Count,2.80,3.20,6.00
-,2.00,,1.00,2.00,3.00
-Total,,,3.80,5.20,9.00
+,2.00,Count,1.00,2.00,3.00
+Total,,Count,3.80,5.20,9.00
 
 Table: Summary
 ,Cases,,,,,
@@ -510,8 +510,8 @@ Table: x × y
 ,,,y,,Total
 ,,,1.00,2.00,
 x,1.00,Count,2.80,3.20,6.00
-,2.00,,1.00,2.00,3.00
-Total,,,3.80,5.20,9.00
+,2.00,Count,1.00,2.00,3.00
+Total,,Count,3.80,5.20,9.00
 
 Table: Summary
 ,Cases,,,,,
@@ -523,8 +523,8 @@ Table: x × y
 ,,,y,,Total
 ,,,1.00,2.00,
 x,1.00,Count,2.00,4.00,6.00
-,2.00,,1.00,2.00,3.00
-Total,,,3.00,6.00,9.00
+,2.00,Count,1.00,2.00,3.00
+Total,,Count,3.00,6.00,9.00
 
 Table: Summary
 ,Cases,,,,,
@@ -536,8 +536,8 @@ Table: x × y
 ,,,y,,Total
 ,,,1.00,2.00,
 x,1.00,Count,2.00,2.00,4.00
-,2.00,,1.00,2.00,3.00
-Total,,,3.00,4.00,7.00
+,2.00,Count,1.00,2.00,3.00
+Total,,Count,3.00,4.00,7.00
 
 Table: Summary
 ,Cases,,,,,
@@ -549,8 +549,8 @@ Table: x × y
 ,,,y,,Total
 ,,,1.00,2.00,
 x,1.00,Count,3.00,3.00,6.00
-,2.00,,1.00,2.00,3.00
-Total,,,4.00,5.00,9.00
+,2.00,Count,1.00,2.00,3.00
+Total,,Count,4.00,5.00,9.00
 
 Table: Summary
 ,Cases,,,,,
@@ -562,8 +562,8 @@ Table: x × y
 ,,,y,,Total
 ,,,1.00,2.00,
 x,1.00,Count,2.00,3.00,5.00
-,2.00,,1.00,2.00,3.00
-Total,,,3.00,5.00,8.00
+,2.00,Count,1.00,2.00,3.00
+Total,,Count,3.00,5.00,8.00
 ])
 AT_CLEANUP
 
@@ -596,9 +596,9 @@ Table: x × y
 ,,,y,,Total
 ,,,2.00,1.00,
 x,4.00,Count,0,1,1
-,3.00,,2,1,3
-,2.00,,2,0,2
-Total,,,4,2,6
+,3.00,Count,2,1,3
+,2.00,Count,2,0,2
+Total,,Count,4,2,6
 ])
 AT_CLEANUP
 
@@ -858,8 +858,8 @@ Table: type of school × female
 ,,,female,,Total
 ,,,male,female,
 type of school,public,Count,77,91,168
-,private,,14,18,32
-Total,,,91,109,200
+,private,Count,14,18,32
+Total,,Count,91,109,200
 
 Table: Chi-Square Tests
 ,Value,df,Asymptotic Sig. (2-tailed),Exact Sig. (2-tailed),Exact Sig. (1-tailed)
@@ -880,8 +880,8 @@ Table: female × ses
 ,,,ses,,,Total
 ,,,low,middle,high,
 female,male,Count,15,47,29,91
-,female,,32,48,29,109
-Total,,,47,95,58,200
+,female,Count,32,48,29,109
+Total,,Count,47,95,58,200
 
 Table: Chi-Square Tests
 ,Value,df,Asymptotic Sig. (2-tailed)
@@ -920,10 +920,10 @@ Table: x × y
 ,,,y,,,,,Total
 ,,,4.000,6.000,10.000,12.000,13.000,
 x,1.000,Count,1,0,0,0,0,1
-,3.000,,0,1,0,0,0,1
-,5.000,,0,0,1,1,0,2
-,6.000,,0,0,0,0,1,1
-Total,,,1,1,1,1,1,5
+,3.000,Count,0,1,0,0,0,1
+,5.000,Count,0,0,1,1,0,2
+,6.000,Count,0,0,0,0,1,1
+Total,,Count,1,1,1,1,1,5
 
 Table: Symmetric Measures
 ,,Value,Asymp. Std. Error,Approx. T
@@ -965,16 +965,16 @@ Table: x × y
 ,,,y,,,,,,,,,Total
 ,,,1.500,4.000,5.000,6.000,6.500,7.000,9.000,10.500,11.000,
 x,1.000,Count,1,0,0,0,0,0,0,0,0,1
-,2.000,,1,0,0,0,0,0,0,0,0,1
-,3.000,,0,1,0,0,0,0,0,0,0,1
-,4.000,,0,0,0,1,0,0,0,0,0,1
-,5.000,,0,0,1,0,0,0,0,0,0,1
-,6.000,,0,0,0,0,0,1,0,0,0,1
-,7.000,,0,0,0,0,1,0,0,0,0,1
-,8.000,,0,0,0,0,0,0,1,0,0,1
-,9.000,,0,0,0,0,0,0,0,1,0,1
-,10.000,,0,0,0,0,0,0,0,0,1,1
-Total,,,2,1,1,1,1,1,1,1,1,10
+,2.000,Count,1,0,0,0,0,0,0,0,0,1
+,3.000,Count,0,1,0,0,0,0,0,0,0,1
+,4.000,Count,0,0,0,1,0,0,0,0,0,1
+,5.000,Count,0,0,1,0,0,0,0,0,0,1
+,6.000,Count,0,0,0,0,0,1,0,0,0,1
+,7.000,Count,0,0,0,0,1,0,0,0,0,1
+,8.000,Count,0,0,0,0,0,0,1,0,0,1
+,9.000,Count,0,0,0,0,0,0,0,1,0,1
+,10.000,Count,0,0,0,0,0,0,0,0,1,1
+Total,,Count,2,1,1,1,1,1,1,1,1,10
 
 Table: Symmetric Measures
 ,,Value,Asymp. Std. Error,Approx. T
@@ -1015,13 +1015,13 @@ Table: x × y
 ,,,y,,,,,,,,Total
 ,,,28.000,58.000,66.000,75.000,85.000,87.000,91.000,122.000,
 x,25.000,Count,1,0,0,0,0,0,0,0,1
-,35.000,,0,1,0,0,0,0,0,0,1
-,44.000,,0,0,1,0,0,0,0,0,1
-,50.000,,0,0,0,1,0,0,0,0,1
-,56.000,,0,0,0,0,0,1,1,0,2
-,65.000,,0,0,0,0,1,0,1,0,2
-,87.000,,0,0,0,0,0,0,0,1,1
-Total,,,1,1,1,1,1,1,2,1,9
+,35.000,Count,0,1,0,0,0,0,0,0,1
+,44.000,Count,0,0,1,0,0,0,0,0,1
+,50.000,Count,0,0,0,1,0,0,0,0,1
+,56.000,Count,0,0,0,0,0,1,1,0,2
+,65.000,Count,0,0,0,0,1,0,1,0,2
+,87.000,Count,0,0,0,0,0,0,0,1,1
+Total,,Count,1,1,1,1,1,1,2,1,9
 
 Table: Symmetric Measures
 ,,Value,Asymp. Std. Error,Approx. T
@@ -1065,15 +1065,15 @@ Table: x × y
 ,,,y,,,,,,,,,,,,Total
 ,,,2.000,4.000,5.000,7.000,9.000,11.000,12.000,14.000,15.000,17.000,18.000,20.000,
 x,2.000,Count,0,0,0,1,0,0,0,0,0,0,0,0,1
-,3.000,,0,0,0,0,0,0,1,0,0,0,0,0,1
-,4.000,,0,0,0,0,1,1,0,0,0,0,0,0,2
-,5.000,,0,0,1,0,0,0,0,0,0,0,0,0,1
-,6.000,,1,1,0,0,0,0,0,0,0,0,0,0,2
-,7.000,,0,0,0,0,0,0,0,1,0,0,0,0,1
-,8.000,,0,0,0,0,0,0,0,0,1,0,0,0,1
-,9.000,,0,0,0,0,0,0,0,0,0,1,0,0,1
-,10.000,,0,0,0,0,0,0,0,0,0,0,1,1,2
-Total,,,1,1,1,1,1,1,1,1,1,1,1,1,12
+,3.000,Count,0,0,0,0,0,0,1,0,0,0,0,0,1
+,4.000,Count,0,0,0,0,1,1,0,0,0,0,0,0,2
+,5.000,Count,0,0,1,0,0,0,0,0,0,0,0,0,1
+,6.000,Count,1,1,0,0,0,0,0,0,0,0,0,0,2
+,7.000,Count,0,0,0,0,0,0,0,1,0,0,0,0,1
+,8.000,Count,0,0,0,0,0,0,0,0,1,0,0,0,1
+,9.000,Count,0,0,0,0,0,0,0,0,0,1,0,0,1
+,10.000,Count,0,0,0,0,0,0,0,0,0,0,1,1,2
+Total,,Count,1,1,1,1,1,1,1,1,1,1,1,1,12
 
 Table: Symmetric Measures
 ,,Value,Asymp. Std. Error,Approx. T
@@ -1115,16 +1115,16 @@ Table: x × y
 ,,,y,,,,,,,,,,Total
 ,,,15000.00,26000.00,29000.00,32000.00,33000.00,41000.00,45000.00,52000.00,68000.00,80000.00,
 x,18.000,Count,1,0,0,0,0,0,0,0,0,0,1
-,24.000,,0,1,0,0,0,0,0,0,0,0,1
-,25.000,,0,0,1,0,0,0,0,0,0,0,1
-,26.000,,0,0,0,1,0,0,0,0,0,0,1
-,33.000,,0,0,0,0,1,0,0,0,0,0,1
-,37.000,,0,0,0,0,0,1,0,0,0,0,1
-,40.000,,0,0,0,0,0,0,1,0,0,0,1
-,45.000,,0,0,0,0,0,0,0,1,0,0,1
-,57.000,,0,0,0,0,0,0,0,0,1,0,1
-,64.000,,0,0,0,0,0,0,0,0,0,1,1
-Total,,,1,1,1,1,1,1,1,1,1,1,10
+,24.000,Count,0,1,0,0,0,0,0,0,0,0,1
+,25.000,Count,0,0,1,0,0,0,0,0,0,0,1
+,26.000,Count,0,0,0,1,0,0,0,0,0,0,1
+,33.000,Count,0,0,0,0,1,0,0,0,0,0,1
+,37.000,Count,0,0,0,0,0,1,0,0,0,0,1
+,40.000,Count,0,0,0,0,0,0,1,0,0,0,1
+,45.000,Count,0,0,0,0,0,0,0,1,0,0,1
+,57.000,Count,0,0,0,0,0,0,0,0,1,0,1
+,64.000,Count,0,0,0,0,0,0,0,0,0,1,1
+Total,,Count,1,1,1,1,1,1,1,1,1,1,10
 
 Table: Symmetric Measures
 ,,Value,Asymp. Std. Error,Approx. T
@@ -1675,8 +1675,8 @@ Table: p1 × p2
 ,,,p2,,Total
 ,,,.000,1.000,
 p1,.000,Count,18.000,1.000,19.000
-,1.000,,1.000,.000,1.000
-Total,,,19.000,1.000,20.000
+,1.000,Count,1.000,.000,1.000
+Total,,Count,19.000,1.000,20.000
 
 Table: Symmetric Measures
 ,,Value,Asymp. Std. Error,Approx. T
@@ -1818,8 +1818,8 @@ Table: factor × disease
 ,,,disease,,Total
 ,,,Yes,No,
 factor,Placebo,Count,20,80,100
-,Aspirin,,15,135,150
-Total,,,35,215,250
+,Aspirin,Count,15,135,150
+Total,,Count,35,215,250
 
 Table: Chi-Square Tests
 ,Value,df,Asymptotic Sig. (2-tailed),Exact Sig. (2-tailed),Exact Sig. (1-tailed)

diff --git a/tests/language/stats/oneway.at b/tests/language/stats/oneway.at
index 2c11e7ca46b7adbb27261ba82193bb5cfcbce61a..9eb1a0811bb9ceae7521eb1e6352f51bb069f872 100644 (file)
--- a/tests/language/stats/oneway.at
+++ b/tests/language/stats/oneway.at
@@ -711,7 +711,7 @@ Tukey HSD,Placebo,1 Dose,-1.000,.887,.516,-3.366,1.366
 ,,2 Doses,-1.800,.887,.147,-4.166,.566
 ,2 Doses,Placebo,2.800,.887,.021,.434,5.166
 ,,1 Dose,1.800,.887,.147,-.566,4.166
-Games-Howell,Placebo,,-1.000,.887,.479,-3.356,1.356
+Games-Howell,Placebo,1 Dose,-1.000,.887,.479,-3.356,1.356
 ,,2 Doses,-2.800,.887,.039,-5.439,-.161
 ,1 Dose,Placebo,1.000,.887,.479,-1.356,3.356
 ,,2 Doses,-1.800,.887,.185,-4.439,.839