SEMIANNUAL: Semiannual (Dis)Aggregation

In bimets: Time Series and Econometric Modeling

Semiannual (Dis)Aggregation

Description

This function returns a semi-annual (dis)aggregated time series, by using as input an annual, quarterly, monthly or daily time series.

Usage

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

Arguments

x	Input time series that must satisfy the compliance control check defined in is.bimets.
fun	Only for daily or monthly or quarterly input time series: STOCK: the value of the input time series in the last observation of a half-year is assigned to the same half-year of the output time series. NSTOCK: the value of the input time series in the last non-missing observation of a half-year is assigned to the same half-year of the output time series. SUM: the sum of input observations in a half-year is assigned to the same half-year of the output time series. NSUM: the sum of input non-missing observations in a half-year is assigned to the same half-year of the output time series. AVE: the average of input observations in a half-year is assigned to the same half-year of the output time series. NAVE: the average of input non-missing observations in a half-year is assigned to the same half-year of the output time series. Only for annual input time series: NULL: (default) the output value of each half-year observation is set equal to the value of the input observation the half-year 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 half-year 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 half-year 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 half-year 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.

Value

This function returns a semi-annual BIMETS time series.

See Also

ANNUAL
QUARTERLY
MONTHLY
DAILY

Examples

	#TS QUARTERLY TO SEMIANNUAL
	n<-14
	xArr<-(n:0)
	ts1<-TSERIES(xArr,START=c(2000,1),FREQ='Q')
	print(SEMIANNUAL(ts1,fun='NAVE'))
	
	#TS ANNUAL TO SEMIANNUAL
	ts1<-TSERIES((1:10),START=c(2000,1),FREQ=1)
	print(SEMIANNUAL(ts1,fun='INTERP_END'))

bimets documentation built on April 4, 2025, 5:15 a.m.