Commit 5430fc27 authored by Morten Welinder's avatar Morten Welinder

1.12.18

parent fd744387
2014-09-25 Morten Welinder <terra@gnome.org>
* Release 1.12.18
2014-09-25 Morten Welinder <terra@gnome.org>
* src/sheet-filter.c (gnm_filter_condition_new_single)
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2014-09-25 Morten Welinder <terra@gnome.org>
* Release 1.12.18
2014-07-26 Andreas J. Guelzow <aguelzow@pyrshep.ca>
* data-move-copy.xml: add note about coying of discontinuous selections
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......@@ -935,7 +935,7 @@ The natural logarithm is not uniquely defined on complex numbers. You may need t
@ARGUMENTDESCRIPTION=@{date}: date serial value
@{method}: numbering system, defaults to 1
@DESCRIPTION=The WEEKDAY function returns the day-of-week of @{date}. The value of @{method} determines how days are numbered; it defaults to 1.
@NOTE=If @{method} is 1, then Sunday is 1, Monday is 2, etc. If @{method} is 2, then Monday is 1, Tuesday is 2, etc. If @{method} is 3, then Monday is 0, Tuesday is 1, etc.
@NOTE=If @{method} is 1, then Sunday is 1, Monday is 2, etc. If @{method} is 2, then Monday is 1, Tuesday is 2, etc. If @{method} is 3, then Monday is 0, Tuesday is 1, etc. If @{method} is 11, then Monday is 1, Tuesday is 2, etc. If @{method} is 12, then Tuesday is 1, Wednesday is 2, etc. If @{method} is 13, then Wednesday is 1, Thursday is 2, etc. If @{method} is 14, then Thursday is 1, Friday is 2, etc. If @{method} is 15, then Friday is 1, Saturday is 2, etc. If @{method} is 16, then Saturday is 1, Sunday is 2, etc. If @{method} is 17, then Sunday is 1, Monday is 2, etc.
@EXCEL=This function is Excel compatible.
@SEEALSO=DATE,ISOWEEKNUM
......@@ -6359,70 +6359,3 @@ The distinction between half-width and full-width characters is described in htt
@EXCEL=This function is Excel compatible.
@SEEALSO=DOLLAR,FIXED,TEXT
@CATEGORY=Time Series Analysis
@FUNCTION=FOURIER
@SHORTDESC=Fourier or inverse Fourier transform
@SYNTAX=FOURIER(Sequence,Inverse,Separate)
@ARGUMENTDESCRIPTION=@{Sequence}: the data sequence to be transformed
@{Inverse}: if true, the inverse Fourier transform is calculated, defaults to false
@{Separate}: if true, the real and imaginary parts are given separately, defaults to false
@DESCRIPTION=This array function returns the Fourier or inverse Fourier transform of the given data sequence.
The output consists of one column of complex numbers if @{Separate} is false and of two columns of real numbers if @{Separate} is true.
If @{Separate} is true the first output column contains the real parts and the second column the imaginary parts.
@NOTE=If @{Sequence} is neither an n by 1 nor 1 by n array, this function returns #VALUE!
@CATEGORY=Time Series Analysis
@FUNCTION=HPFILTER
@SHORTDESC=Hodrick Prescott Filter
@SYNTAX=HPFILTER(Sequence,λ)
@ARGUMENTDESCRIPTION=@{Sequence}: the data sequence to be transformed
@{λ}: filter parameter λ, defaults to 1600
@DESCRIPTION=This array function returns the trend and cyclical components obtained by applying the Hodrick Prescott Filter with parameter @{λ} to the given data sequence.
The output consists of two columns of numbers, the first containing the trend component, the second the cyclical component.
@NOTE=If @{Sequence} is neither an n by 1 nor 1 by n array, this function returns #VALUE! If @{Sequence} contains less than 6 numerical values, this function returns #VALUE!
@CATEGORY=Time Series Analysis
@FUNCTION=INTERPOLATION
@SHORTDESC=interpolated values corresponding to the given abscissa targets
@SYNTAX=INTERPOLATION(abscissae,ordinates,targets,interpolation)
@ARGUMENTDESCRIPTION=@{abscissae}: abscissae of the given data points
@{ordinates}: ordinates of the given data points
@{targets}: abscissae of the interpolated data
@{interpolation}: method of interpolation, defaults to 0 ('linear')
@DESCRIPTION=The output consists always of one column of numbers.
Possible interpolation methods are:
0: linear;
1: linear with averaging;
2: staircase;
3: staircase with averaging;
4: natural cubic spline;
5: natural cubic spline with averaging.
@NOTE=The @{abscissae} should be given in increasing order. If the @{abscissae} is not in increasing order the INTERPOLATION function is significantly slower. If any two @{abscissae} values are equal an error is returned. If any of interpolation methods 1 ('linear with averaging'), 3 ('staircase with averaging'), and 5 ('natural cubic spline with averaging') is used, the number of returned values is one less than the number of targets and the target values must be given in increasing order. The values returned are the average heights of the interpolation function on the intervals determined by consecutive target values. Strings and empty cells in @{abscissae} and @{ordinates} are ignored. If several target data are provided they must be in the same column in consecutive cells.
@SEEALSO=PERIODOGRAM
@CATEGORY=Time Series Analysis
@FUNCTION=PERIODOGRAM
@SHORTDESC=periodogram of the given data
@SYNTAX=PERIODOGRAM(ordinates,filter,abscissae,interpolation,number)
@ARGUMENTDESCRIPTION=@{ordinates}: ordinates of the given data
@{filter}: windowing function to be used, defaults to no filter
@{abscissae}: abscissae of the given data, defaults to regularly spaced abscissae
@{interpolation}: method of interpolation, defaults to none
@{number}: number of interpolated data points
@DESCRIPTION=If an interpolation method is used, the number of returned values is one less than the number of targets and the targets values must be given in increasing order.
The output consists always of one column of numbers.
Possible interpolation methods are:
0: linear;
1: linear with averaging;
2: staircase;
3: staircase with averaging;
4: natural cubic spline;
5: natural cubic spline with averaging.
Possible window functions are:
0: no filter (rectangular window)
1: Bartlett (triangular window)
2: Hahn (cosine window)
3: Welch (parabolic window)
@NOTE=Strings and empty cells in @{abscissae} and @{ordinates} are ignored. If several target data are provided they must be in the same column in consecutive cells.
@SEEALSO=INTERPOLATION
......@@ -3447,7 +3447,7 @@
</refsect1>
<refsect1>
<title>Note</title>
<para>If <parameter>method</parameter> is 1, then Sunday is 1, Monday is 2, etc. If <parameter>method</parameter> is 2, then Monday is 1, Tuesday is 2, etc. If <parameter>method</parameter> is 3, then Monday is 0, Tuesday is 1, etc.</para>
<para>If <parameter>method</parameter> is 1, then Sunday is 1, Monday is 2, etc. If <parameter>method</parameter> is 2, then Monday is 1, Tuesday is 2, etc. If <parameter>method</parameter> is 3, then Monday is 0, Tuesday is 1, etc. If <parameter>method</parameter> is 11, then Monday is 1, Tuesday is 2, etc. If <parameter>method</parameter> is 12, then Tuesday is 1, Wednesday is 2, etc. If <parameter>method</parameter> is 13, then Wednesday is 1, Thursday is 2, etc. If <parameter>method</parameter> is 14, then Thursday is 1, Friday is 2, etc. If <parameter>method</parameter> is 15, then Friday is 1, Saturday is 2, etc. If <parameter>method</parameter> is 16, then Saturday is 1, Sunday is 2, etc. If <parameter>method</parameter> is 17, then Sunday is 1, Monday is 2, etc.</para>
</refsect1>
<refsect1>
<title>Microsoft Excel Compatibility</title>
......@@ -21912,170 +21912,4 @@
</refsect1>
</refentry>
</sect1>
<sect1 id="CATEGORY_Time_Series_Analysis">
<title>Time Series Analysis</title>
<refentry id="gnumeric-function-FOURIER">
<refmeta>
<refentrytitle>
<function>FOURIER</function>
</refentrytitle>
</refmeta>
<refnamediv>
<refname>
<function>FOURIER</function>
</refname>
<refpurpose>
Fourier or inverse Fourier transform
</refpurpose>
</refnamediv>
<refsynopsisdiv>
<synopsis><function>FOURIER</function>(<parameter>Sequence</parameter>,<parameter>Inverse</parameter>,<parameter>Separate</parameter>)</synopsis>
</refsynopsisdiv>
<refsect1>
<title>Arguments</title>
<para><parameter>Sequence</parameter>: the data sequence to be transformed</para>
<para><parameter>Inverse</parameter>: if true, the inverse Fourier transform is calculated, defaults to false</para>
<para><parameter>Separate</parameter>: if true, the real and imaginary parts are given separately, defaults to false</para>
</refsect1>
<refsect1>
<title>Description</title>
<para>This array function returns the Fourier or inverse Fourier transform of the given data sequence.</para>
<para>The output consists of one column of complex numbers if <parameter>Separate</parameter> is false and of two columns of real numbers if <parameter>Separate</parameter> is true.</para>
<para>If <parameter>Separate</parameter> is true the first output column contains the real parts and the second column the imaginary parts.</para>
</refsect1>
<refsect1>
<title>Note</title>
<para>If <parameter>Sequence</parameter> is neither an n by 1 nor 1 by n array, this function returns #VALUE!</para>
</refsect1>
</refentry>
<refentry id="gnumeric-function-HPFILTER">
<refmeta>
<refentrytitle>
<function>HPFILTER</function>
</refentrytitle>
</refmeta>
<refnamediv>
<refname>
<function>HPFILTER</function>
</refname>
<refpurpose>
Hodrick Prescott Filter
</refpurpose>
</refnamediv>
<refsynopsisdiv>
<synopsis><function>HPFILTER</function>(<parameter>Sequence</parameter>,<parameter/>λ)</synopsis>
</refsynopsisdiv>
<refsect1>
<title>Arguments</title>
<para><parameter>Sequence</parameter>: the data sequence to be transformed</para>
<para><parameter>λ</parameter>: filter parameter λ, defaults to 1600</para>
</refsect1>
<refsect1>
<title>Description</title>
<para>This array function returns the trend and cyclical components obtained by applying the Hodrick Prescott Filter with parameter <parameter>λ</parameter> to the given data sequence.</para>
<para>The output consists of two columns of numbers, the first containing the trend component, the second the cyclical component.</para>
</refsect1>
<refsect1>
<title>Note</title>
<para>If <parameter>Sequence</parameter> is neither an n by 1 nor 1 by n array, this function returns #VALUE! If <parameter>Sequence</parameter> contains less than 6 numerical values, this function returns #VALUE!</para>
</refsect1>
</refentry>
<refentry id="gnumeric-function-INTERPOLATION">
<refmeta>
<refentrytitle>
<function>INTERPOLATION</function>
</refentrytitle>
</refmeta>
<refnamediv>
<refname>
<function>INTERPOLATION</function>
</refname>
<refpurpose>
interpolated values corresponding to the given abscissa targets
</refpurpose>
</refnamediv>
<refsynopsisdiv>
<synopsis><function>INTERPOLATION</function>(<parameter>abscissae</parameter>,<parameter>ordinates</parameter>,<parameter>targets</parameter>,<parameter>interpolation</parameter>)</synopsis>
</refsynopsisdiv>
<refsect1>
<title>Arguments</title>
<para><parameter>abscissae</parameter>: abscissae of the given data points</para>
<para><parameter>ordinates</parameter>: ordinates of the given data points</para>
<para><parameter>targets</parameter>: abscissae of the interpolated data</para>
<para><parameter>interpolation</parameter>: method of interpolation, defaults to 0 ('linear')</para>
</refsect1>
<refsect1>
<title>Description</title>
<para>The output consists always of one column of numbers.</para>
<para>Possible interpolation methods 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>
</refsect1>
<refsect1>
<title>Note</title>
<para>The <parameter>abscissae</parameter> should be given in increasing order. If the <parameter>abscissae</parameter> is not in increasing order the <function>INTERPOLATION</function> function is significantly slower. If any two <parameter>abscissae</parameter> values are equal an error is returned. If any of interpolation methods 1 ('linear with averaging'), 3 ('staircase with averaging'), and 5 ('natural cubic spline with averaging') is used, the number of returned values is one less than the number of targets and the target values must be given in increasing order. The values returned are the average heights of the interpolation function on the intervals determined by consecutive target values. Strings and empty cells in <parameter>abscissae</parameter> and <parameter>ordinates</parameter> are ignored. If several target data are provided they must be in the same column in consecutive cells.</para>
</refsect1>
<refsect1>
<title>See also</title>
<para><link linkend="gnumeric-function-PERIODOGRAM"><function>PERIODOGRAM</function></link>.
</para>
</refsect1>
</refentry>
<refentry id="gnumeric-function-PERIODOGRAM">
<refmeta>
<refentrytitle>
<function>PERIODOGRAM</function>
</refentrytitle>
</refmeta>
<refnamediv>
<refname>
<function>PERIODOGRAM</function>
</refname>
<refpurpose>
periodogram of the given data
</refpurpose>
</refnamediv>
<refsynopsisdiv>
<synopsis><function>PERIODOGRAM</function>(<parameter>ordinates</parameter>,<parameter>filter</parameter>,<parameter>abscissae</parameter>,<parameter>interpolation</parameter>,<parameter>number</parameter>)</synopsis>
</refsynopsisdiv>
<refsect1>
<title>Arguments</title>
<para><parameter>ordinates</parameter>: ordinates of the given data</para>
<para><parameter>filter</parameter>: windowing function to be used, defaults to no filter</para>
<para><parameter>abscissae</parameter>: abscissae of the given data, defaults to regularly spaced abscissae</para>
<para><parameter>interpolation</parameter>: method of interpolation, defaults to none</para>
<para><parameter>number</parameter>: number of interpolated data points</para>
</refsect1>
<refsect1>
<title>Description</title>
<para>If an interpolation method is used, the number of returned values is one less than the number of targets and the targets values must be given in increasing order.</para>
<para>The output consists always of one column of numbers.</para>
<para>Possible interpolation methods 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>Possible window functions 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>
</refsect1>
<refsect1>
<title>Note</title>
<para>Strings and empty cells in <parameter>abscissae</parameter> and <parameter>ordinates</parameter> are ignored. If several target data are provided they must be in the same column in consecutive cells.</para>
</refsect1>
<refsect1>
<title>See also</title>
<para><link linkend="gnumeric-function-INTERPOLATION"><function>INTERPOLATION</function></link>.
</para>
</refsect1>
</refentry>
</sect1>
</appendix>
2014-09-25 Morten Welinder <terra@gnome.org>
* Release 1.12.18
2014-06-09 Morten Welinder <terra@gnome.org>
* Release 1.12.17
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* Release 1.12.18
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* Release 1.12.17
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* Release 1.12.18
2014-09-20 Morten Welinder <terra@gnome.org>
* xlsx-write.c (xlsx_write_cells): xml:space evidently isn't
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* functions.c (gnumeric_weekday): Add methods 11-17 from newer
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2014-09-24 Andreas J. Guelzow <aguelzow@pyrshep.ca>
* openoffice-read.c (odf_push_text_p): initialize new field
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2014-09-25 Morten Welinder <terra@gnome.org>
* Release 1.12.18
2014-09-24 Jean Brefort <jean.brefort@normalesup.org>
* dialog-recent.c (url_renderer_func): fix crash with gtk+-3.14.0.
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