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TSTooI Documentation
<br />Commands
<br />4.4 Fill Time Series Data
<br />The Commands...Fill Time Series Data menu inserts commands for filling missing data in time series.
<br />fillCarryFarward~),,, Fill TS by carrying forward - ** see FiIlRepeak()**~
<br />fillCanskank~),,, Fill TS wikh canskank~
<br />fillDayTSFram2MankhTSAndiDayTS(),,, <Fill daily kime series using D1 = D2*M1 f M2~
<br />fillFramTS(),,, Mill kime series wikh values Pram anakher kime series
<br />fillHiskMankhAverage().,. Fill mankhly TS using hiskaric average
<br />fillHiskVearAverage(}.,. Fill yearly TS using hiskaric average
<br />fillInkerpalake(),,, Fill TS using inkerpalakian~
<br />fiIIMOVE2().,. Fill TS using M01+E2 mekhad~
<br />fillPakkern~),,, Fill TS using ETfDRYfAVG pakkern~
<br />fillPrarake(),,, Fill TS by praraking anakher kime series
<br />fillRegressian~~,,, Fill TS using regressian~
<br />fillRepeak~),,, Fill TS by repeaking values
<br />fillUsingDiversianCammenks(},,, fuse diversion cammenks as daka - HydraBase ONLV~
<br />sekAukaExkendPeriad(~,,, afar daka filling and manipulakian~
<br />sekAveragePeriad(},,, afar daka filling
<br />sekIgnareLE2era(),,, ~ignare values ~= 0 in hiskarical averages
<br />sekPakkernFile(),,, Far use wikh fillPakkern~) ~
<br />Commands...Fill Time Series Data Menu
<br />ITimeSeries
<br />Fill commands will only change values that are missing, whereas set commands will change values
<br />regardless of whether they are missing ornon-missing. These commands can be executed in sequence to
<br />apply multiple fill techniques to time series. Many commands accept the * wildcard for the time series
<br />identifier, allowing all time series to be filled.
<br />Time series may contain missing data due to the following reasons:
<br />1. the data collection system is unavailable because of a failure, maintenance cycle, or hardware that is
<br />turned off because of seasonal use
<br />2. in a real-time system the most current data have not yet been received
<br />3. data collection hardware was not in place during a period (e.g., an early period)
<br />4. measured values are suspected of being in error and are changed to missing
<br />5. values in a computed time series cannot be computed (e.g., input data are missing)
<br />6. a data source stores only observed values and non-recorded values are assumed to be missing rather
<br />than a specific value (e.g., zero)
<br />Observations that are available are typically either measured values or values that have been estimated by
<br />the organization that collects and/or maintains the data. Data flags indicating missing data may or may
<br />not be available in the original source data (e.g., an `m' or `e' character flag is often used to indicate
<br />missing and estimated data).
<br />Commands - 5
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