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gnumeric r16899 - in trunk: . doc doc/C doc/de plugins/applix plugins/corba plugins/derivatives plugins/dif plugins/excel plugins/fn-complex plugins/fn-database plugins/fn-date plugins/fn-eng plugins/fn-erlang plugins/fn-financial plugins/fn-info plugins/fn-logical plugins/fn-lookup plugins/fn-math plugins/fn-r plugins/fn-random plugins/fn-stat plugins/fn-string plugins/fn-tsa plugins/gb plugins/gda plugins/gnome-db plugins/gnome-glossary plugins/guile plugins/html plugins/lotus-123 plugins/mps plugins/numtheory plugins/numtheory/doc plugins/oleo plugins/openoffice plugins/paradox plugins/perl-func plugins/perl-loader plugins/plan-perfect plugins/psiconv plugins/py-func plugins/python-loader plugins/qpro plugins/sample_datasource plugins/sc plugins/sylk plugins/uihello plugins/xbase po po-functions src/dialogs src/tools src/tools/solver src/tools/solver/glpk src/tools/solver/lp_solve src/widgets test tools

Author: jody
Date: Sun Oct 19 04:09:50 2008
New Revision: 16899
URL: http://svn.gnome.org/viewvc/gnumeric?rev=16899&view=rev

Log:
release 1.9.3 and get closer to distchecking

Modified:
   trunk/ChangeLog
   trunk/doc/C/ChangeLog
   trunk/doc/C/analysis-statistical.xml
   trunk/doc/C/func.defs
   trunk/doc/C/functions.xml
   trunk/doc/ChangeLog
   trunk/doc/de/ChangeLog
   trunk/plugins/applix/ChangeLog
   trunk/plugins/corba/ChangeLog
   trunk/plugins/derivatives/ChangeLog
   trunk/plugins/dif/ChangeLog
   trunk/plugins/excel/ChangeLog
   trunk/plugins/fn-complex/ChangeLog
   trunk/plugins/fn-database/ChangeLog
   trunk/plugins/fn-date/ChangeLog
   trunk/plugins/fn-eng/ChangeLog
   trunk/plugins/fn-erlang/ChangeLog
   trunk/plugins/fn-financial/ChangeLog
   trunk/plugins/fn-info/ChangeLog
   trunk/plugins/fn-logical/ChangeLog
   trunk/plugins/fn-lookup/ChangeLog
   trunk/plugins/fn-math/ChangeLog
   trunk/plugins/fn-r/ChangeLog
   trunk/plugins/fn-random/ChangeLog
   trunk/plugins/fn-stat/ChangeLog
   trunk/plugins/fn-stat/functions.c
   trunk/plugins/fn-string/ChangeLog
   trunk/plugins/fn-tsa/ChangeLog
   trunk/plugins/fn-tsa/functions.c
   trunk/plugins/gb/ChangeLog
   trunk/plugins/gda/ChangeLog
   trunk/plugins/gnome-db/ChangeLog
   trunk/plugins/gnome-glossary/ChangeLog
   trunk/plugins/guile/ChangeLog
   trunk/plugins/html/ChangeLog
   trunk/plugins/lotus-123/ChangeLog
   trunk/plugins/mps/ChangeLog
   trunk/plugins/numtheory/ChangeLog
   trunk/plugins/numtheory/doc/ChangeLog
   trunk/plugins/oleo/ChangeLog
   trunk/plugins/openoffice/ChangeLog
   trunk/plugins/paradox/ChangeLog
   trunk/plugins/perl-func/ChangeLog
   trunk/plugins/perl-loader/ChangeLog
   trunk/plugins/plan-perfect/ChangeLog
   trunk/plugins/psiconv/ChangeLog
   trunk/plugins/py-func/ChangeLog
   trunk/plugins/python-loader/ChangeLog
   trunk/plugins/qpro/ChangeLog
   trunk/plugins/sample_datasource/ChangeLog
   trunk/plugins/sc/ChangeLog
   trunk/plugins/sylk/ChangeLog
   trunk/plugins/uihello/ChangeLog
   trunk/plugins/xbase/ChangeLog
   trunk/po-functions/ChangeLog
   trunk/po/ChangeLog
   trunk/src/dialogs/ChangeLog
   trunk/src/tools/ChangeLog
   trunk/src/tools/solver/ChangeLog
   trunk/src/tools/solver/glpk/ChangeLog
   trunk/src/tools/solver/lp_solve/ChangeLog
   trunk/src/widgets/ChangeLog
   trunk/test/ChangeLog
   trunk/test/Makefile.am
   trunk/tools/ChangeLog

Modified: trunk/doc/C/analysis-statistical.xml
==============================================================================
--- trunk/doc/C/analysis-statistical.xml	(original)
+++ trunk/doc/C/analysis-statistical.xml	Sun Oct 19 04:09:50 2008
@@ -1428,8 +1428,8 @@
      </sect4>
      <sect4 id="moving-averages-cumulative">
        <title>Cumulative Moving Average</title>
-       A cumulative moving average is a prior moving average in which the current 
-       and all prior observations are included.
+       <para>A cumulative moving average is a prior moving average in which the current 
+       and all prior observations are included.</para>
      </sect4>
      <sect4 id="moving-averages-weighted">
        <title>Weighted Moving Average</title>
@@ -1442,7 +1442,7 @@
 	 time <parameter>t</parameter>.
        </para>
 
-       <figure id="moving-averages-weighted">
+       <figure id="moving-averages-weighted-formula">
 	 <title>Formula For The Weighted Moving Average With Interval 
 	   <parameter>i</parameter></title>
 	 <screenshot>
@@ -1720,7 +1720,7 @@
 
     <sect3 id="frequency-tool">
       <title>Frequency Tables Tool</title>
-
+      <para/>
     </sect3>
 
   <sect3 id="histogram-tool">
@@ -2081,9 +2081,10 @@
   </sect3>
   </sect2>
 
-<sect2 id="kaplan-meier-tool">
-     <title>Kaplan Meier Estimates Tool</title>
- </sect2>
+  <sect2 id="kaplan-meier-tool">
+      <title>Kaplan Meier Estimates Tool</title>
+      <para/>
+  </sect2>
 
    
 

Modified: trunk/doc/C/func.defs
==============================================================================
--- trunk/doc/C/func.defs	(original)
+++ trunk/doc/C/func.defs	Sun Oct 19 04:09:50 2008
@@ -1934,6 +1934,17 @@
 @SEEALSO=AMORDEGRC
 
 @CATEGORY=Finance
+ FUNCTION=atl_last
+ SYNTAX=ATL_LAST (tag)
+ DESCRIPTION=ATL_LAST is a sample implemention of a real time data source. It takes a string tag and monitors the named pipe /tmp/atl for changes to the value of that tag.
+
+* This is not intended to be generally enabled and is OFF by default.
+
+ EXAMPLES=
+ATL_LAST("IBM")
+ SEEALSO=
+
+ CATEGORY=Finance
 @FUNCTION=COUPDAYBS
 @SYNTAX=COUPDAYBS(settlement,maturity,frequency[,basis,eom])
 @DESCRIPTION=COUPDAYBS returns the number of days from the beginning of the coupon period to the settlement date.
@@ -5989,20 +6000,12 @@
 
 @CATEGORY=Statistics
 @FUNCTION=LINEST
- SYNTAX=LINEST(known_y's[,known_x's[,const[,stat]]])
- DESCRIPTION=LINEST function calculates the ``least squares'' line that best fit to your data in @known_y's.  @known_x's contains the corresponding x's where y=mx+b.
-
-LINEST returns an array having two columns and one row.  The slope (m) of the regression line y=mx+b is given in the first column and the y-intercept (b) in the second.
-
-If @stat is TRUE, extra statistical information will be returned. Extra statistical information is written below the regression line coefficients in the result array.  Extra statistical information consists of four rows of data.  In the first row the standard error values for the coefficients m1, (m2, ...), b are represented.  The second row contains the square of R and the standard error for the y estimate.  The third row contains the F-observed value and the degrees of freedom.  The last row contains the regression sum of squares and the residual sum of squares.
-
-* If @known_x's is omitted, an array {1, 2, 3, ...} is used.
-* If @known_y's and @known_x's have unequal number of data points, LINEST returns #NUM! error.
-* If @const is FALSE, the line will be forced to go through the origin, i.e., b will be zero. The default is TRUE.
-* The default of @stat is FALSE.
-
- EXAMPLES=
-
+ SYNTAX=LINEST(y,x,affine,stats)
+ DESCRIPTION=This function returns an array with the first row giving the regression coefficients for the independent variables x_m, x_(m-1),...,x_2, x_1 followed by the y-intercept if @{affine} is true.
+ {y}: vector of values of dependent variable.
+ {x}: array of values of independent variables, defaults to a single vector 1,...,n.
+ {affine}: if true, the model contains a constant term, defaults to true.
+ {stats}: if true, some additional statistics is provided, defaults to false
 @SEEALSO=LOGEST,TREND
 
 @CATEGORY=Statistics
@@ -7586,3 +7589,64 @@
 
 @SEEALSO=DOLLAR, FIXED, TEXT
 
+ CATEGORY=Time Series Analysis
+ FUNCTION=INTERPOLATION
+ SYNTAX=INTERPOLATION(abscissas,ordinates,targets[,interpolation])
+ DESCRIPTION= 
+INTERPOLATION returns interpolated values corresponding
+to the given abscissa targets as a one column matrix.
+
+ abscissas are the absicssas of the data to interpolate.
+ ordinates are the ordinates of the data to interpolate.
+* Strings and empty cells in @abscissas and @ordinates are simply ignored.
+ targets are the abscissas of the interpolated data. If several data
+are provided, they must be in the same column, in consecutive cells
+ interpolation is the method to be used for the interpolation;
+possible values are:
+- 0: linear;
+- 1: linear with averaging;
+- 2: staircase;
+- 3: staircase with averaging;
+- 4: natural cubic spline;
+- 5: natural cubic spline with averaging.
+
+If an averaging method is used, the number of returned values
+is one less than the number of targets since the evaluation is made by
+averaging the interpolation over the interval between two consecutive data;
+in that case, the targets values must be given in increasing order.
+ EXAMPLES=
+
+ SEEALSO=PERIODOGRAM
+
+ CATEGORY=Time Series Analysis
+ FUNCTION=PERIODOGRAM
+ SYNTAX=PERIODOGRAM(ordinates,[filter,[abscissas,[interpolation,[number]]]])
+ DESCRIPTION= 
+periodogram returns the periodogram of the data
+as a one column matrix.
+
+ ordinates are the ordinates of the data to interpolate.
+ filter gives the window function to  be used. Possible values are:
+- 0: no filter (rectangular window);
+- 1: Bartlett (triangular window);
+- 2: Hahn (cosine window);
+- 3: Welch (parabolic window);
+ abscissas are the absicssas of the data to interpolate. If no
+abscissa is given, it is supposed that the data absicssas are regularly
+spaced. Otherwise, an interpolation method will be used to evaluate
+regularly spaced data.
+* Strings and empty cells in @abscissas and @ordinates are simply ignored.
+ interpolation is the method to be used for the interpolation;
+possible values are:
+- 0: linear;
+- 1: linear with averaging;
+- 2: staircase;
+- 3: staircase with averaging;
+- 4: natural cubic spline;
+- 5: natural cubic spline with averaging.
+ number is the number of interpolated data to be used. If not given,
+a default number is automatically evaluated.
+ EXAMPLES=
+
+ SEEALSO=INTERPOLATION
+

Modified: trunk/doc/C/functions.xml
==============================================================================
--- trunk/doc/C/functions.xml	(original)
+++ trunk/doc/C/functions.xml	Sun Oct 19 04:09:50 2008
@@ -4746,6 +4746,41 @@
       </para>
       </refsect1>
     </refentry>
+    <refentry id="gnumeric-atl_last">
+      <refmeta>
+        <refentrytitle>
+          <function>atl_last</function>
+        </refentrytitle>
+      </refmeta>
+      <refnamediv>
+        <refname>
+          <function>atl_last</function>
+        </refname>
+        <refpurpose/>
+      </refnamediv>
+      <refsynopsisdiv>
+        <synopsis>ATL_LAST (<parameter>tag</parameter>)</synopsis>
+      </refsynopsisdiv>
+      <refsect1>
+        <title>Description</title>
+        <para>ATL_LAST is a sample implemention of a real time data source. It takes a string tag and monitors the named pipe /tmp/atl for changes to the value of that tag.</para>
+        <itemizedlist>
+          <listitem>
+            <para>This is not intended to be generally enabled and is OFF by default.</para>
+          </listitem>
+        </itemizedlist>
+      </refsect1>
+      <refsect1>
+        <title>Examples</title>
+        <para/>
+        <para>ATL_LAST("IBM")</para>
+      </refsect1>
+      <refsect1>
+        <title>See also</title>
+        <para>
+      </para>
+      </refsect1>
+    </refentry>
     <refentry id="gnumeric-COUPDAYBS">
       <refmeta>
         <refentrytitle>
@@ -15770,31 +15805,15 @@
         <refpurpose/>
       </refnamediv>
       <refsynopsisdiv>
-        <synopsis><function>LINEST</function>(<parameter>known_y</parameter>'s[,<parameter>known_x</parameter>'s[,<parameter>const</parameter>[,<parameter>stat</parameter>]]])</synopsis>
+        <synopsis><function>LINEST</function>(<parameter>y</parameter>,<parameter>x</parameter>,<parameter>affine</parameter>,<parameter>stats</parameter>)</synopsis>
       </refsynopsisdiv>
       <refsect1>
         <title>Description</title>
-        <para><function>LINEST</function> function calculates the ``least squares'' line that best fit to your data in <parameter>known_y</parameter>'s.  <parameter>known_x</parameter>'s contains the corresponding x's where y=mx+b.</para>
-        <para><function>LINEST</function> returns an array having two columns and one row.  The slope (m) of the regression line y=mx+b is given in the first column and the y-intercept (b) in the second.</para>
-        <para>If <parameter>stat</parameter> is TRUE, extra statistical information will be returned. Extra statistical information is written below the regression line coefficients in the result array.  Extra statistical information consists of four rows of data.  In the first row the standard error values for the coefficients m1, (m2, ...), b are represented.  The second row contains the square of R and the standard error for the y estimate.  The third row contains the F-observed value and the degrees of freedom.  The last row contains the regression sum of squares and the residual sum of squares.</para>
-        <itemizedlist>
-          <listitem>
-            <para>If <parameter>known_x</parameter>'s is omitted, an array {1, 2, 3, ...} is used.</para>
-          </listitem>
-          <listitem>
-            <para>If <parameter>known_y</parameter>'s and <parameter>known_x</parameter>'s have unequal number of data points, <function>LINEST</function> returns #NUM! error.</para>
-          </listitem>
-          <listitem>
-            <para>If <parameter>const</parameter> is FALSE, the line will be forced to go through the origin, i.e., b will be zero. The default is TRUE.</para>
-          </listitem>
-          <listitem>
-            <para>The default of <parameter>stat</parameter> is FALSE.</para>
-          </listitem>
-        </itemizedlist>
-      </refsect1>
-      <refsect1>
-        <title>Examples</title>
-        <para/>
+        <para>This function returns an array with the first row giving the regression coefficients for the independent variables x_m, x_(m-1),...,x_2, x_1 followed by the y-intercept if <parameter>affine</parameter> is true.</para>
+        <para><parameter>y</parameter>: vector of values of dependent variable.</para>
+        <para><parameter>x</parameter>: array of values of independent variables, defaults to a single vector 1,...,n.</para>
+        <para><parameter>affine</parameter>: if true, the model contains a constant term, defaults to true.</para>
+        <para><parameter>stats</parameter>: if true, some additional statistics is provided, defaults to false</para>
       </refsect1>
       <refsect1>
         <title>See also</title>
@@ -20303,4 +20322,115 @@
       </refsect1>
     </refentry>
   </sect1>
+  <sect1 id="CATEGORY_Time_Series_Analysis">
+    <title>Time Series Analysis</title>
+    <refentry id="gnumeric-INTERPOLATION">
+      <refmeta>
+        <refentrytitle>
+          <function>INTERPOLATION</function>
+        </refentrytitle>
+      </refmeta>
+      <refnamediv>
+        <refname>
+          <function>INTERPOLATION</function>
+        </refname>
+        <refpurpose/>
+      </refnamediv>
+      <refsynopsisdiv>
+        <synopsis><function>INTERPOLATION</function>(<parameter>abscissas</parameter>,<parameter>ordinates</parameter>,<parameter>targets</parameter>[,<parameter>interpolation</parameter>])</synopsis>
+      </refsynopsisdiv>
+      <refsect1>
+        <title>Description</title>
+        <para/>
+        <para><function>INTERPOLATION</function> returns interpolated values corresponding</para>
+        <para>to the given abscissa targets as a one column matrix.</para>
+        <para><parameter>abscissas</parameter> are the absicssas of the data to interpolate.</para>
+        <para><parameter>ordinates</parameter> are the ordinates of the data to interpolate.</para>
+        <itemizedlist>
+          <listitem>
+            <para>Strings and empty cells in <parameter>abscissas</parameter> and <parameter>ordinates</parameter> are simply ignored.</para>
+          </listitem>
+        </itemizedlist>
+        <para><parameter>targets</parameter> are the abscissas of the interpolated data. If several data</para>
+        <para>are provided, they must be in the same column, in consecutive cells</para>
+        <para><parameter>interpolation</parameter> is the method to be used for the interpolation;</para>
+        <para>possible values are:</para>
+        <para>- 0: linear;</para>
+        <para>- 1: linear with averaging;</para>
+        <para>- 2: staircase;</para>
+        <para>- 3: staircase with averaging;</para>
+        <para>- 4: natural cubic spline;</para>
+        <para>- 5: natural cubic spline with averaging.</para>
+        <para>If an averaging method is used, the number of returned values</para>
+        <para>is one less than the number of targets since the evaluation is made by</para>
+        <para>averaging the interpolation over the interval between two consecutive data;</para>
+        <para>in that case, the targets values must be given in increasing order.</para>
+      </refsect1>
+      <refsect1>
+        <title>Examples</title>
+        <para/>
+      </refsect1>
+      <refsect1>
+        <title>See also</title>
+        <para><link linkend="gnumeric-PERIODOGRAM"><function>PERIODOGRAM</function></link>.
+      </para>
+      </refsect1>
+    </refentry>
+    <refentry id="gnumeric-PERIODOGRAM">
+      <refmeta>
+        <refentrytitle>
+          <function>PERIODOGRAM</function>
+        </refentrytitle>
+      </refmeta>
+      <refnamediv>
+        <refname>
+          <function>PERIODOGRAM</function>
+        </refname>
+        <refpurpose/>
+      </refnamediv>
+      <refsynopsisdiv>
+        <synopsis><function>PERIODOGRAM</function>(<parameter>ordinates</parameter>,<parameter/>[filter,<parameter/>[abscissas,<parameter/>[interpolation,<parameter/>[number]]]])</synopsis>
+      </refsynopsisdiv>
+      <refsect1>
+        <title>Description</title>
+        <para/>
+        <para>periodogram returns the periodogram of the data</para>
+        <para>as a one column matrix.</para>
+        <para><parameter>ordinates</parameter> are the ordinates of the data to interpolate.</para>
+        <para><parameter>filter</parameter> gives the window function to  be used. Possible values are:</para>
+        <para>- 0: no filter (rectangular window);</para>
+        <para>- 1: Bartlett (triangular window);</para>
+        <para>- 2: Hahn (cosine window);</para>
+        <para>- 3: Welch (parabolic window);</para>
+        <para><parameter>abscissas</parameter> are the absicssas of the data to interpolate. If no</para>
+        <para>abscissa is given, it is supposed that the data absicssas are regularly</para>
+        <para>spaced. Otherwise, an interpolation method will be used to evaluate</para>
+        <para>regularly spaced data.</para>
+        <itemizedlist>
+          <listitem>
+            <para>Strings and empty cells in <parameter>abscissas</parameter> and <parameter>ordinates</parameter> are simply ignored.</para>
+          </listitem>
+        </itemizedlist>
+        <para><parameter>interpolation</parameter> is the method to be used for the interpolation;</para>
+        <para>possible values are:</para>
+        <para>- 0: linear;</para>
+        <para>- 1: linear with averaging;</para>
+        <para>- 2: staircase;</para>
+        <para>- 3: staircase with averaging;</para>
+        <para>- 4: natural cubic spline;</para>
+        <para>- 5: natural cubic spline with averaging.</para>
+        <para><parameter>number</parameter> is the number of interpolated data to be used. If not given,</para>
+        <para>a default number is automatically evaluated.</para>
+      </refsect1>
+      <refsect1>
+        <title>Examples</title>
+        <para/>
+      </refsect1>
+      <refsect1>
+        <title>See also</title>
+        <para><link linkend="gnumeric-INTERPOLATION"><function>INTERPOLATION</function></link>.
+      </para>
+      </refsect1>
+    </refentry>
+  </sect1>
 </appendix>

Modified: trunk/plugins/fn-stat/functions.c
==============================================================================
--- trunk/plugins/fn-stat/functions.c	(original)
+++ trunk/plugins/fn-stat/functions.c	Sun Oct 19 04:09:50 2008
@@ -3897,8 +3897,8 @@
 	{ GNM_FUNC_HELP_ARG, F_("affine:if true, the model contains a constant term, defaults to true.") },
 	{ GNM_FUNC_HELP_ARG, F_("stats:if true, some additional statistics is provided, defaults to false") },
 	{ GNM_FUNC_HELP_DESCRIPTION, F_("This function returns an array with the first row giving the regression coefficients for the independent variables x_m, x_(m-1),...,x_2, x_1 followed by the y-intercept if @{affine} is true.")},
-	{ GNM_FUNC_HELP_DESCRIPTION, F_("If @{stats} is true, the second row contains the corresponding standard errors of the regression coefficients. In this case, the third row contains the R^2 value and the standard error for the predicted value. The fourth row contains the observed F value and its degrees of freedom. Finally, the fifth row contains the regression sum of squares and the residual sum of squares.") },
-	{GNM_FUNC_HELP_DESCRIPTION, F_("If @{affine} is false, R^2 is the uncentered version of the coefficient of determination; that is the proportion of the sum of squares explained by the model.")},
+	{ GNM_FUNC_HELP_NOTE, F_("If @{stats} is true, the second row contains the corresponding standard errors of the regression coefficients. In this case, the third row contains the R^2 value and the standard error for the predicted value. The fourth row contains the observed F value and its degrees of freedom. Finally, the fifth row contains the regression sum of squares and the residual sum of squares.") },
+	{GNM_FUNC_HELP_NOTE, F_("If @{affine} is false, R^2 is the uncentered version of the coefficient of determination; that is the proportion of the sum of squares explained by the model.")},
 	{GNM_FUNC_HELP_NOTE, F_("If the length of @{y} does not match the corresponding length of @{x}, LINEST returns #NUM!")},
 	{ GNM_FUNC_HELP_SEEALSO, "LOGEST,TREND" },
 	{ GNM_FUNC_HELP_END }

Modified: trunk/plugins/fn-tsa/functions.c
==============================================================================
--- trunk/plugins/fn-tsa/functions.c	(original)
+++ trunk/plugins/fn-tsa/functions.c	Sun Oct 19 04:09:50 2008
@@ -318,11 +318,11 @@
 
 static GnmFuncHelp const help_interpolation[] = {
 	{ GNM_FUNC_HELP_OLD,
-	F_("@FUNCTION=interpolation\n"
-	   "@SYNTAX=interpolation(abscissas,ordinates,targets[,interpolation])\n"
+	F_("@FUNCTION=INTERPOLATION\n"
+	   "@SYNTAX=INTERPOLATION(abscissas,ordinates,targets[,interpolation])\n"
 
 	   "@DESCRIPTION= \n"
-	   "interpolation returns interpolated values corresponding\n"
+	   "INTERPOLATION returns interpolated values corresponding\n"
 	   "to the given abscissa targets as a one column matrix.\n"
 	   "\n"
 	   "@abscissas are the absicssas of the data to interpolate.\n"
@@ -342,7 +342,10 @@
 	   "If an averaging method is used, the number of returned values\n"
 	   "is one less than the number of targets since the evaluation is made by\n"
 	   "averaging the interpolation over the interval between two consecutive data;\n"
-	   "in that case, the targets values must be given in increasing order.")
+	   "in that case, the targets values must be given in increasing order.\n"
+	   "@EXAMPLES=\n"
+	   "\n"
+	   "@SEEALSO=PERIODOGRAM")
 	},
 	{ GNM_FUNC_HELP_END }
 };
@@ -604,8 +607,8 @@
 
 static GnmFuncHelp const help_periodogram[] = {
 	{ GNM_FUNC_HELP_OLD,
-	F_("@FUNCTION=periodogram\n"
-	   "@SYNTAX=periodogram(ordinates,[filter,[abscissas,[interpolation,[number]]]])\n"
+	F_("@FUNCTION=PERIODOGRAM\n"
+	   "@SYNTAX=PERIODOGRAM(ordinates,[filter,[abscissas,[interpolation,[number]]]])\n"
 
 	   "@DESCRIPTION= \n"
 	   "periodogram returns the periodogram of the data\n"
@@ -631,7 +634,10 @@
 	   "- 4: natural cubic spline;\n"
 	   "- 5: natural cubic spline with averaging.\n"
 	   "@number is the number of interpolated data to be used. If not given,\n"
-	   "a default number is automatically evaluated.\n")
+	   "a default number is automatically evaluated.\n"
+	   "@EXAMPLES=\n"
+	   "\n"
+	   "@SEEALSO=INTERPOLATION")
 	},
 	{ GNM_FUNC_HELP_END }
 };

Modified: trunk/test/Makefile.am
==============================================================================
--- trunk/test/Makefile.am	(original)
+++ trunk/test/Makefile.am	Sun Oct 19 04:09:50 2008
@@ -20,11 +20,11 @@
 #
 # 90xx: Misc stuff.
 
-TESTS = $(wildcard t[0-9][0-9][0-9][0-9]-*.pl)
+TESTS = $(wildcard $(srcdir)/t[0-9][0-9][0-9][0-9]-*.pl)
 SUPPS = common.supp gui.supp t8003-valgrind-pdf.supp
 
 import-db:
-	for t in t5[0-9][0-9][0-9]-*.pl; do echo "*** $$t ***"; $(PERL) $$t create-db; done
+	for t in $(srcdir)/t5[0-9][0-9][0-9]-*.pl; do echo "*** $$t ***"; $(PERL) $$t create-db; done
 
 
 EXTRA_DIST = GnumericTest.pm $(SUPPS) normalize-gnumeric $(TESTS)
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