DAILY function

Daily Time Series (Dis)Aggregation

This function returns a daily disaggregated time series, by using as input an annual, semiannual, quarterly or monthly time series.

DAILY(x = NULL, fun = NULL, avoidCompliance = FALSE, ...)

Arguments

• x: Input time series, that must satisfy the compliance control check defined in is.bimets.

• fun: NULL : (default) the output value of each daily observation is set equal to the value of the input observation the date belongs to (i.e. duplicated values over the period)

  INTERP_END : the value of the input time series in a period is copied into the last day of the output time series that lies in the same period. Other values are calculated by linear interpolation.

  INTERP_CENTER : the value of the input time series in a period is copied into the median day of the output time series that lies in the same period. Other values are calculated by linear interpolation.

  INTERP_BEGIN : the value of the input time series in a period is copied into the first day of the output time series that lies in the same period. Other values are calculated by linear interpolation.

• avoidCompliance: If TRUE, compliance control check of input time series will be skipped. See is.bimets

• ...: Backward compatibility.

Returns

This function returns a daily BIMETS time series.

See Also

YEARLY

SEMIANNUAL

QUARTERLY

MONTHLY

Examples

#TS quarterly
        ts1<-TSERIES((1:2),START=c(2000,1),FREQ='Q')
        TABIT(DAILY(ts1,fun='INTERP_CENTER'))   
        
        #TS monthly
        ts1<-TSERIES((1:4),START=c(2000,1),FREQ=12)
        TABIT(DAILY(ts1))