bimets: ANNUAL – R documentation

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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, ...)

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.

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

Time Series and Econometric Modeling

v1.5.3

GPL-3

Authors

Andrea Luciani [aut, cre], Roberto Stok [aut], Bank of Italy [cph]

Initial release

2021-02-04