summaryrefslogtreecommitdiffstats
path: root/source/text/scalc/01/func_forecastetsstatmult.xhp
diff options
context:
space:
mode:
authorOlivier Hallot <ohallot@collabora.co.uk>2016-03-08 11:28:49 -0300
committerCaolán McNamara <caolanm@redhat.com>2016-03-09 17:10:00 +0000
commit9dc3878117e8d2c4e6e6cf09b41fb2e06867a477 (patch)
tree4bd9a6f34b85dae4743037658708bae0508ffa3f /source/text/scalc/01/func_forecastetsstatmult.xhp
parentupdate parts related to direct cursor mode (diff)
downloadhelp-9dc3878117e8d2c4e6e6cf09b41fb2e06867a477.tar.gz
help-9dc3878117e8d2c4e6e6cf09b41fb2e06867a477.zip
tdf#97021 Help pages for FORECAST.ETS functions
Write help page for FORECAST.ETS.* Calc functions Change-Id: I4fc3a0f18bb09e033b011206c41bec841e0d01f5 Reviewed-on: https://gerrit.libreoffice.org/23093 Reviewed-by: Caolán McNamara <caolanm@redhat.com> Tested-by: Caolán McNamara <caolanm@redhat.com>
Diffstat (limited to 'source/text/scalc/01/func_forecastetsstatmult.xhp')
-rw-r--r--source/text/scalc/01/func_forecastetsstatmult.xhp63
1 files changed, 63 insertions, 0 deletions
diff --git a/source/text/scalc/01/func_forecastetsstatmult.xhp b/source/text/scalc/01/func_forecastetsstatmult.xhp
new file mode 100644
index 0000000000..e7a459f291
--- /dev/null
+++ b/source/text/scalc/01/func_forecastetsstatmult.xhp
@@ -0,0 +1,63 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<helpdocument version="1.0">
+<!--
+ * This file is part of the LibreOffice project.
+ *
+ * This Source Code Form is subject to the terms of the Mozilla Public
+ * License, v. 2.0. If a copy of the MPL was not distributed with this
+ * file, You can obtain one at http://mozilla.org/MPL/2.0/.
+ *
+-->
+
+<meta>
+ <topic id="textscalc01func_forecastetsstatmultxml">
+ <title id="tit" xml-lang="en-US">FORECAST.ETS.STAT.MULT</title>
+ <filename>/text/scalc/01/func_forecastetsstatmult.xhp</filename>
+ </topic>
+</meta>
+
+<body>
+
+<section id="forecastetsstatmult">
+<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FORECAST_ETS_STM" id="bm_id0603201615491416" localize="false"/>
+<bookmark xml-lang="en-US" branch="index" id="bm_id976559765597655">
+<bookmark_value>FORECAST.ETS.STAT.MULT function</bookmark_value>
+</bookmark>
+
+<paragraph id="hd_id0603201615483251" role="heading" level="1" xml-lang="en-US"><link href="text/scalc/01/func_forecastetsstatmult.xhp">FORECAST.ETS.STAT.MULT Function</link></paragraph>
+
+<paragraph id="par_id0603201615485387" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_FORECAST_ETS_STM">Returns statistical value(s) that are results of the ETS/EDS algorithms.</ahelp></paragraph>
+<embed href="text/scalc/01/exponsmooth_embd.xhp#intro"/>
+<paragraph id="par_id0603201608440530" role="paragraph" xml-lang="en-US">FORECAST.ETS.STAT.MULT calculates with the model </paragraph>
+<embed href="text/scalc/01/exponsmooth_embd.xhp#etsmult"/>
+
+<paragraph id="par_id050320162122554" role="heading" level="3" xml-lang="en-US">Syntax</paragraph>
+<paragraph id="par_id0603201610005728" role="code" xml-lang="en-US">FORECAST.ETS.STAT.MULT (values, timeline, stat_type, [period_lenght], [data_completion], [aggregation])</paragraph>
+<embed href="text/scalc/01/exponsmooth_embd.xhp#values"/>
+<embed href="text/scalc/01/exponsmooth_embd.xhp#timeline"/>
+<embed href="text/scalc/01/exponsmooth_embd.xhp#statistics"/>
+<embed href="text/scalc/01/exponsmooth_embd.xhp#numsampperiod"/>
+<embed href="text/scalc/01/exponsmooth_embd.xhp#datacompletion"/>
+<embed href="text/scalc/01/exponsmooth_embd.xhp#aggregation"/>
+
+<embed href="text/scalc/01/exponsmooth_embd.xhp#exampledata"/>
+ <paragraph id="hd_id04032016185123" role="code" xml-lang="en-US">=FORECAST.ETS.STAT.MULT(Values;Timeline;5;1;TRUE();1)</paragraph>
+ <paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 0.084073452803966, the multiplicative statistics based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with symetric mean absolute percentage error (SMAPE), one sample per period, no missing data, and AVERAGE as aggregation.</paragraph>
+ <paragraph id="hd_id04032123185123" role="code" xml-lang="en-US">=FORECAST.ETS.STAT.MULT(Values;Timeline;7;1;TRUE();7)</paragraph>
+ <paragraph id="hd_id040312316112394554" role="paragraph" xml-lang="en-US">Returns 15.8372533480997, the multiplicative statistics based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with root mean squared error, no missing data, and SUM as aggregation.</paragraph>
+</section>
+<section id="relatedtopics">
+<paragraph id="par_id0603201619261276" role="paragraph" xml-lang="en-US">See also :
+ <link href="text/scalc/01/func_forecastetsadd.xhp">FORECAST.ETS.ADD</link>,
+ <link href="text/scalc/01/func_forecastetsmult.xhp">FORECAST.ETS.MULT</link>,
+ <link href="text/scalc/01/func_forecastetsstatadd.xhp">FORECAST.ETS.STAT.ADD</link>,
+ <link href="text/scalc/01/func_forecastetspiadd.xhp">FORECAST.ETS.PI.ADD</link>,
+ <link href="text/scalc/01/func_forecastetspimult.xhp">FORECAST.ETS.PI.MULT</link>,
+ <link href="text/scalc/01/func_forecastetsseason.xhp">FORECAST.ETS.SEASONALITY</link>,
+ <link href="text/scalc/01/04060185.xhp#forecast">FORECAST</link>,
+ <link href="text/scalc/01/04060185.xhp#forecastlinear">FORECAST.LINEAR</link>
+ </paragraph>
+</section>
+</body>
+
+</helpdocument>