bimets (version 4.0.3)

ANNUAL: 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, ...)

Value

This function returns a yearly BIMETS time series.

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.

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'))