Description Usage Arguments Details Value Author(s) See Also Examples
Apply a specified function to each distinct period in a given time series object.
1 2 3 4 5 | apply.daily(x, FUN, ...)
apply.weekly(x, FUN, ...)
apply.monthly(x, FUN, ...)
apply.quarterly(x, FUN, ...)
apply.yearly(x, FUN, ...)
|
x |
an time-series object coercible to xts |
FUN |
an R function |
... |
additional arguments to FUN |
Simple mechanism to apply a function to non-overlapping time periods, e.g. weekly, monthly, etc. Different from rolling functions in that this will subset the data based on the specified time period (implicit in the call), and return a vector of values for each period in the original data.
Essentially a wrapper to the xts functions
endpoints
and period.apply
, mainly as
a convenience.
A vector of results produced by FUN
, corresponding
to the appropriate periods.
Jeffrey A. Ryan
endpoints
, period.apply
,
to.monthly
1 2 3 4 5 6 7 | xts.ts <- xts(rnorm(231),as.Date(13514:13744,origin="1970-01-01"))
start(xts.ts)
end(xts.ts)
apply.monthly(xts.ts,mean)
apply.monthly(xts.ts,function(x) var(x))
|
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
[1] "2007-01-01"
[1] "2007-08-19"
[,1]
2007-01-31 0.21950150
2007-02-28 -0.23485661
2007-03-31 -0.03410866
2007-04-30 0.13983454
2007-05-31 -0.05036995
2007-06-30 0.21637948
2007-07-31 -0.09403144
2007-08-19 0.06142440
[,1]
2007-01-31 1.3208756
2007-02-28 0.9985181
2007-03-31 0.8849621
2007-04-30 0.8870611
2007-05-31 0.7286655
2007-06-30 0.9920177
2007-07-31 1.1313456
2007-08-19 1.1064541
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