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authorChristian Lohmaier <lohmaier+LibreOffice@googlemail.com>2016-05-23 14:51:48 +0200
committerChristian Lohmaier <lohmaier+LibreOffice@googlemail.com>2016-05-23 14:51:48 +0200
commitd05478e9a284ab1f4189ecc85e50f7205e0d9af3 (patch)
treeefb6f5507626a0980928c0d8683f9c4d2bf9f63d
parent36b3f0c90d172c341c556f63cc5c312220118b3e (diff)
typo: "the the" → "the"
Change-Id: I315fd3151e4b52495f3f55a5a65813b13debd8a6
-rw-r--r--source/text/scalc/01/func_forecastetspiadd.xhp2
-rw-r--r--source/text/scalc/01/func_forecastetspimult.xhp2
2 files changed, 2 insertions, 2 deletions
diff --git a/source/text/scalc/01/func_forecastetspiadd.xhp b/source/text/scalc/01/func_forecastetspiadd.xhp
index dfc3532e3e..2178035523 100644
--- a/source/text/scalc/01/func_forecastetspiadd.xhp
+++ b/source/text/scalc/01/func_forecastetspiadd.xhp
@@ -45,7 +45,7 @@
<embed href="text/scalc/01/exponsmooth_embd.xhp#exampledata"/>
<paragraph id="hd_id04032016185123" role="code" xml-lang="en-US">=FORECAST.ETS.PI.ADD(DATE(2014;1;1);Values;Timeline;0,9;1;TRUE();1)</paragraph>
- <paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 18.8061295551355, the the additive prediction interval forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with one sample per period, no missing data, and AVERAGE as aggregation.</paragraph>
+ <paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 18.8061295551355, the additive prediction interval forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with one sample per period, no missing data, and AVERAGE as aggregation.</paragraph>
<paragraph id="hd_id04032123185123" role="code" xml-lang="en-US">=FORECAST.ETS.PI.ADD(DATE(2014;1;1);Values;Timeline;0.8;4;TRUE();7)</paragraph>
<paragraph id="hd_id040312316112394554" role="paragraph" xml-lang="en-US">Returns 23.4416821953741, the additive prediction interval forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with confidence level of 0.8, period length of 4, no missing data, and SUM as aggregation.</paragraph>
</section>
diff --git a/source/text/scalc/01/func_forecastetspimult.xhp b/source/text/scalc/01/func_forecastetspimult.xhp
index 8d5bd607a6..534c9b3526 100644
--- a/source/text/scalc/01/func_forecastetspimult.xhp
+++ b/source/text/scalc/01/func_forecastetspimult.xhp
@@ -45,7 +45,7 @@
<embed href="text/scalc/01/exponsmooth_embd.xhp#exampledata"/>
<paragraph id="hd_id04032016185123" role="code" xml-lang="en-US">=FORECAST.ETS.PI.MULT(DATE(2014;1;1);Values;Timeline;0,9;1;TRUE();1)</paragraph>
- <paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 20.1040952101013, the the multiplicative prediction interval forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with one sample per period, no missing data, and AVERAGE as aggregation.</paragraph>
+ <paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 20.1040952101013, the multiplicative prediction interval forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with one sample per period, no missing data, and AVERAGE as aggregation.</paragraph>
<paragraph id="hd_id04032123185123" role="code" xml-lang="en-US">=FORECAST.ETS.PI.MULT(DATE(2014;1;1);Values;Timeline;0.8;4;TRUE();7)</paragraph>
<paragraph id="hd_id040312316112394554" role="paragraph" xml-lang="en-US">Returns 27.5285874381574, the multiplicative prediction interval forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with confidence level of 0.8, period length of 4, no missing data, and SUM as aggregation.</paragraph>
</section>