bimets (version 4.0.3)

DAILY: Daily Time Series (Dis)Aggregation

Description

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

Usage

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

Value

This function returns a daily BIMETS time series.

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.

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))