From 8b70a2a6b13121f589187c97a0ab79c0bc199d7d Mon Sep 17 00:00:00 2001 From: Stanislav Horacek Date: Sun, 24 Jul 2016 11:37:48 +0200 Subject: FORECAST.ETS.* confidence level: use precise argument name Change-Id: I4c2d43055b7a85bc39fa22e0721ba9aa0bd448b1 Reviewed-on: https://gerrit.libreoffice.org/27471 Reviewed-by: jan iversen Tested-by: jan iversen --- source/text/scalc/01/exponsmooth_embd.xhp | 2 +- source/text/scalc/01/func_forecastetspiadd.xhp | 2 +- source/text/scalc/01/func_forecastetspimult.xhp | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) (limited to 'source') diff --git a/source/text/scalc/01/exponsmooth_embd.xhp b/source/text/scalc/01/exponsmooth_embd.xhp index d97bb3e75f..5cf821b6d6 100644 --- a/source/text/scalc/01/exponsmooth_embd.xhp +++ b/source/text/scalc/01/exponsmooth_embd.xhp @@ -204,7 +204,7 @@
-confidence (mandatory): A numeric value between 0 and 1 (exclusive), default is 0.95. A value indicating a confidence level for the calculated prediction interval. +confidence_level (mandatory): A numeric value between 0 and 1 (exclusive), default is 0.95. A value indicating a confidence level for the calculated prediction interval. With values <= 0 or >= 1, the functions will return the #NUM! Error.
diff --git a/source/text/scalc/01/func_forecastetspiadd.xhp b/source/text/scalc/01/func_forecastetspiadd.xhp index cfcdc01075..aae1136989 100644 --- a/source/text/scalc/01/func_forecastetspiadd.xhp +++ b/source/text/scalc/01/func_forecastetspiadd.xhp @@ -31,7 +31,7 @@ Syntax -FORECAST.ETS.PI.ADD(target, values, timeline, [confidence], [period_length], [completion], [aggregation]) +FORECAST.ETS.PI.ADD(target, values, timeline, [confidence_level], [period_length], [data_completion], [aggregation]) diff --git a/source/text/scalc/01/func_forecastetspimult.xhp b/source/text/scalc/01/func_forecastetspimult.xhp index 882c4c88ec..167c97b1f0 100644 --- a/source/text/scalc/01/func_forecastetspimult.xhp +++ b/source/text/scalc/01/func_forecastetspimult.xhp @@ -31,7 +31,7 @@ Syntax -FORECAST.ETS.PI.MULT(target, values, timeline, [confidence], [period_length], [completion], [aggregation]) +FORECAST.ETS.PI.MULT(target, values, timeline, [confidence_level], [period_length], [data_completion], [aggregation]) -- cgit