ANNUAL: Annual Time Series (Dis)Aggregation

In bimets: Time Series and Econometric Modeling

Annual Time Series (Dis)Aggregation

Description

This function returns a yearly aggregated time series, by using as input a semiannual, quarterly, monthly or daily time series.

Usage

ANNUAL(x = NULL, fun = NULL, avoidCompliance = FALSE, ...)
YEARLY(x = NULL, fun = NULL, avoidCompliance = FALSE, ...)

Arguments

x	Input time series, that must satisfy the compliance control check defined in is.bimets.
fun	STOCK: the output value of a year is equal to the value of the input time series in the last period of the same year NSTOCK: the output value of a year is equal to the value of the input time series in the last non-missing NA period of the same year SUM: the output value of a year is equal to the sum of all the observations of the input time series in the same year NSUM: the output value of a year is equal to the sum of all the non-missing NA observations of the input time series in the same year AVE: the output value of a year is equal to the average of all the observations of the input time series in the same year NAVE: the output value of a year is equal to the average of all the non-missing NA observations of the input time series in the same year
avoidCompliance	If TRUE, compliance control check of input time series will be skipped. See is.bimets
...	Backward compatibility.

Value

This function returns a yearly BIMETS time series.

See Also

SEMIANNUAL
QUARTERLY
MONTHLY
DAILY

Examples

	
	#TS DAILY TO ANNUAL
	n<-366
	ts1<-TIMESERIES(0:n,START=c(2000,1),FREQ='D')
	ts1[10]<-NA
	TABIT(ANNUAL(ts1,fun='NAVE'))
	
	#TS DAILY TO ANNUAL
	n<-36
	ts1<-TIMESERIES(0:n,START=c(2000,1),FREQ='M')
	ts1[10]<-NA
	TABIT(YEARLY(ts1,fun='SUM'))

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