rollAggregate | R Documentation |
Aggregate time series using a rolling window.
rollAggregate(x, FUN=sum, na.rm=FALSE, aggPeriods=4, ...)
x |
a time series object. |
FUN |
the function to use for aggregating. |
na.rm |
Logical indicating if |
aggPeriods |
the number of observations to use in the rolling window. |
... |
additional arguments passed to |
Functions rollAggregate
uses apply with FUN
on a rolling
window set by aggPeriods
.
Partial windows may result in NA
,
depending on FUN
. NA
in the beginning or end are
dropped if na.rm=TRUE
.
The frequency of the resulting series remains the same as the original, but
the result will be aggPeriods
shorter (i.e. have NAs).
The default will be a four period moving sum (which roughly converts weekly
data to something approximating monthly, but at a weekly frequency).
time series
as.annually
,
as.quarterly
,
as.weekly
,
apply
rollAggregate(ts(1:20, start = c(1999,1), frequency=1)) rollAggregate(ts(1:20, start = c(1999,1), frequency=12), aggPeriods=3) if(require("zoo")) { z <- zoo(rnorm(100), order.by = Sys.Date() + 1:100) rollAggregate(as.weekly(z), aggPeriods=4, FUN=mean) require("tfplot") tfplot(as.weekly(z),rollAggregate(as.weekly(z), aggPeriods=4, FUN=mean, na.rm=TRUE)) tfplot(z,rollAggregate(z, aggPeriods=28, FUN=mean)) }
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