LibreOffice Help - master/text/scalc/01 — Slovenian @ TDF Weblate - LibreOffice: See the <link href="https://en.wikipedia.org/wiki/Exponential_smoothing">Wikipedia on Exponential smoothing algorithms</link> for more …

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Context exponsmooth_embd.xhp par_id0403201618694537 help.text

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Context	English	Slovenian
ex_data_stat_func.xhp par_id171619279059462 help.text	A number or logical value. A matching cell content equals the number or logical value.
ex_data_stat_func.xhp par_id511619279076504 help.text	A value beginning with a comparator (<emph><</emph>, <emph><=</emph>, <emph>=</emph>, <emph>></emph>, <emph>>=</emph>, <emph><></emph>).
ex_data_stat_func.xhp par_id11619279168512 help.text	For <emph>=</emph>, if the value is empty it matches empty cells.
ex_data_stat_func.xhp par_id161619279207350 help.text	For <emph><></emph>, if the value is empty it matches non-empty cells.
ex_data_stat_func.xhp par_id271619279215695 help.text	For <emph><></emph>, if the value is not empty it matches any cell content except the value, including empty cells.
ex_data_stat_func.xhp par_id861619279223855 help.text	<emph>Note:</emph> "=0" does not match empty cells.
ex_data_stat_func.xhp par_id51619279363954 help.text	For <emph>=</emph> and <emph><></emph>, if the value is not empty and can not be interpreted as a number type or one of its subtypes and the property <link href="text/shared/optionen/01060500.xhp">Search criteria <emph>=</emph> and <emph><></emph> must apply to whole cells</link> is checked, comparison is against the entire cell contents, if unchecked, comparison is against any subpart of the field that matches the criteria. For <emph>=</emph> and <emph><></emph>, if the value is not empty and can not be interpreted as a Number type or one of its subtypes applies.
ex_data_stat_func.xhp par_id801619279323556 help.text	Other Text value. If the property <link href="text/shared/optionen/01060500.xhp">Search criteria <emph>=</emph> and <emph><></emph> must apply to whole cells</link> is true, the comparison is against the entire cell contents, if false, comparison is against any subpart of the field that matches the criteria. The expression can contain text, numbers, regular expressions or wildcards (<link href="text/shared/optionen/01060500.xhp#wildcards">if enabled in calculation options</link>).
ex_data_stat_func.xhp par_id190621657742 help.text	<emph>Range2</emph> – Optional. Range2 and all the following mean the same as Range1.	<emph>Obseg2</emph> – neobvezen argument. Obseg2 in vsi naslednji imajo isti pomen kot Obseg1.
ex_data_stat_func.xhp par_id317001803813193 help.text	<emph>Criterion2</emph> – Optional. Criterion2 and all the following mean the same as Criterion.
ex_data_stat_func.xhp par_id191527781733238 help.text	The function can have up to 255 arguments, meaning that you can specify 127 criteria ranges and criteria for them.	Funkcija ima lahko do 255 argumentov, kar pomeni, da lahko določite 127 pogojev in njihovih obsegov.
ex_data_stat_func.xhp par_id175721789527973 help.text	If a cell contains TRUE, it is treated as 1, if a cell contains FALSE – as 0 (zero).	Če celica vsebuje TRUE, je obravnavana kot 1, če vsebuje FALSE pa kot 0 (nič).
exponsmooth_embd.xhp tit help.text	embedded text for exponential smoothing	vdelano besedilo za eksponentno glajenje
exponsmooth_embd.xhp par_id0403201618694534 help.text	Exponential Smoothing is a method to smooth real values in time series in order to forecast probable future values.	Eksponentno glajenje je metoda za glajenje realnih vrednosti v časovnih zaporedjih z namenom napovedovanja možnih prihodnjih vrednosti.
exponsmooth_embd.xhp par_id0403201618694535 help.text	Exponential Triple Smoothing (ETS) is a set of algorithms in which both trend and periodical (seasonal) influences are processed. Exponential Double Smoothing (EDS) is an algorithm like ETS, but without the periodical influences. EDS produces linear forecasts.	Trojno eksponentno glajenje (angl. ETS za Exponential Triple Smoothing) je nabor algoritmov, s katerimi se obdelajo tako trend kot periodični (sezonski) vplivi. Dvojno eksponentno glajenje (angl. EDS za Exponential Double Smoothing) je algoritem, podoben ETS, a brez periodičnih vplivov. Z EDS se izdelajo linearne napovedi.
exponsmooth_embd.xhp par_id0403201618694537 help.text	See the <link href="https://en.wikipedia.org/wiki/Exponential_smoothing">Wikipedia on Exponential smoothing algorithms</link> for more information.	Več informacij o <emph>eksponentnem glajenju</emph> najdete <link href="https://en.wikipedia.org/wiki/Exponential_smoothing">v ustreznem članku na wikipediji</link> (v angl.)
exponsmooth_embd.xhp par_id0403201618594534 help.text	<emph>target (mandatory):</emph> A date, time or numeric single value or range. The data point/range for which to calculate a forecast.	<emph>Cilj</emph> (obvezno): datumska, časovna ali številska posamična vrednost ali obseg. Podatkovna točka oz. obseg, za katerega želite izračunati napoved.
exponsmooth_embd.xhp par_id040320161859459 help.text	<emph>values (mandatory):</emph> A numeric array or range. <emph>values</emph> are the historical values, for which you want to forecast the next points.	<emph>Vrednosti</emph> (obvezno): številsko polje ali obseg. <emph>Vrednosti</emph> so zgodovinske vrednosti, s katerimi želite napovedati naslednje točke.
exponsmooth_embd.xhp par_id0403201618594553 help.text	<emph>timeline (mandatory):</emph> A numeric array or range. The timeline (x-value) range for the historical values.
exponsmooth_embd.xhp par_id040320161859450 help.text	The timeline does not have to be sorted, the functions will sort it for calculations.<br/>The timeline values must have a consistent step between them.<br/>If a constant step cannot be identified in the sorted timeline, the functions will return the #NUM! error.<br/>If the ranges of both the timeline and the historical values are not the same size, the functions will return the #N/A error.<br/>If the timeline contains fewer than 2 data periods, the functions will return the #VALUE! error.
exponsmooth_embd.xhp par_id0403201618594513 help.text	<emph>data_completion (optional):</emph> a logical value TRUE or FALSE, a numeric 1 or 0, default is 1 (TRUE). A value of 0 (FALSE) will add missing data points with zero as historical value. A value of 1 (TRUE) will add missing data points by interpolating between the neighboring data points.	<emph>dopolnjevanje_podatkov:</emph> (neobvezno) logična vrednost TRUE ali FALSE, številska vrednost 1 ali 0, privzeta vrednost je 1 (TRUE). Vrednost 0 (FALSE) doda manjkajoče podatkovne točke z nič kot historično vrednostjo. Vrednost 1 (TRUE) doda manjkajoče podatkovne točke z interpolacijo med sosednjimi podatkovnimi točkami.
exponsmooth_embd.xhp par_id0403201618594678 help.text	Although the time line requires a constant step between data points, the function support up to 30% missing data points, and will add these data points.	Čeprav je za časovnico potreben konstanten korak med podatkovnimi točkami, funkcija podpira do 30 % manjkajočih podatkovnih točk in te podatkovne točke doda sama.
exponsmooth_embd.xhp par_id0403201618594650 help.text	<emph>aggregation (optional):</emph> A numeric value from 1 to 7, with default 1. The aggregation parameter indicates which method will be used to aggregate identical time values:	<emph>Združevanje</emph> (neobvezno): številska vrednost od 1 do 7, privzeta vrednost je 1. Parameter združevanja določa, katera metoda bo uporabljena za združevanje identičnih časovnih vrednosti:
exponsmooth_embd.xhp par_id0403201618594696 help.text	Aggregation	Združevanje
exponsmooth_embd.xhp par_id040320161859464 help.text	Function	Funkcija
exponsmooth_embd.xhp par_id0403201618594636 help.text	AVERAGE	AVERAGE
exponsmooth_embd.xhp par_id0403201618594692 help.text	COUNT	COUNT
exponsmooth_embd.xhp par_id0403201618594633 help.text	COUNTA	COUNTA
exponsmooth_embd.xhp par_id040320161859460 help.text	MAX	MAX
exponsmooth_embd.xhp par_id0403201618594658 help.text	MEDIAN	MEDIAN
exponsmooth_embd.xhp par_id0403201618594671 help.text	MIN	MIN

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