bimets (version 4.0.3)

MONTHLY: Monthly Time Series (Dis)Aggregation

Description

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

Usage

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

Value

This function returns a monthly BIMETS time series.

Arguments

x

Input time series that must satisfy the compliance control check defined in is.bimets.

fun

Only for daily input time series:
STOCK: the value of the input time series in the last observation of a month is assigned to the same month of the output time series.
NSTOCK: the value of the input time series in the last non-missing observation of a month is assigned to the same month of the output time series.
SUM: the sum of input observations in a month is assigned to the same month of the output time series.
NSUM: the sum of input non-missing observations in a month is assigned to the same month of the output time series.
AVE: the average of input observations in a month is assigned to the same month of the output time series.
NAVE: the average of input non-missing observations in a month is assigned to the same month of the output time series.

Only for quarterly, semiannual or annual input time series:
NULL: (default) the output value of each monthly observation is set equal to the value of the input observation the month 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 month 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 month 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 month 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
DAILY

Examples

	#TS FREQ 2 SEMIANNUAL TO MONTHLY
	ts1<-TSERIES((1:10),START=c(2000,1),FREQ=2)
	TABIT(MONTHLY(ts1,fun='INTERP_CENTER'))
	
	#TS DAILY TO MONTHLY
	ts1<-TSERIES((1:366),START=c(2000,1),FREQ='D')
	TABIT(MONTHLY(ts1,fun='STOCK'))