aggregate.tis: Compute Summary Statistics of Time Series Subsets
In tis: Time Indexes and Time Indexed Series

Description Usage Arguments Details Value See Also Examples

Splits the data into subsets, computes summary statistics for each, and returns the result in a convenient form.

1 2	## S3 method for class 'tis' aggregate(x, FUN = sum, ...)

`x`	a `tis` time series.
`FUN`	a scalar function to compute the summary statistics which can be applied to all data subsets.
`...`	further arguments passed to `aggregate.ts`

This is a method for the generic aggregate function.

The aggregate function was really designed for ts objects, not tis objects which may or may not meet the assumptions embedded in the function. The convert function is better suited for tis series.

aggregate.tis calls as.ts on it's x argument, then passes that and all other arguments on to aggregate.ts and then turns the result back into a tis series. If there is a local version of aggregate.ts that can be found by exists("aggregate.ts", envir = globalenv()), it will be used in preference to the function in package:stats.

the tis object returned by as.tis() called on the ts object returned by aggregate.ts.

apply, lapply, tapply, aggregate, and convert.

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z <- tis(1:24, start = latestJanuary()) ## a monthly series
aggregate(z, nf = 4, FUN = mean)        ## quarterly average
aggregate(z, nf = 1, FUN = function(x) x[length(x)]) ## December is annual level