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#
# xts: eXtensible time-series
#
# Copyright (C) 2008 Jeffrey A. Ryan jeff.a.ryan @ gmail.com
#
# Contributions from Joshua M. Ulrich
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#' @rdname ndays
`nseconds` <-
function(x) {
length(endpoints(x,on='seconds'))-1
}
#' @rdname ndays
`nminutes` <-
function(x) {
length(endpoints(x,on='minutes'))-1
}
#' @rdname ndays
`nhours` <-
function(x) {
length(endpoints(x,on='hours'))-1
}
#' Number of Periods in Data
#'
#' Calculate the number of specified periods in a given time series like data
#' object.
#'
#' Essentially a wrapper to `endpoints()` with the appropriate period
#' specified. The result is the number of endpoints found.
#'
#' As a compromise between simplicity and accuracy, the results will always
#' round up to the nearest complete period. Subtract 1 from the result to
#' get the completed periods.
#'
#' For finer grain detail one should call the higher frequency functions.
#'
#' An alternative summary can be found with `periodicity(x)` and
#' `unclass(periodicity(x))`.
#'
#' @param x A time-based object.
#'
#' @return The number of respective periods in `x`.
#'
#' @author Jeffrey A. Ryan
#'
#' @seealso [`endpoints()`]
#'
#' @keywords utilities
#' @examples
#'
#' \dontrun{
#' getSymbols("QQQQ")
#'
#' ndays(QQQQ)
#' nweeks(QQQQ)
#' }
#'
`ndays` <-
function(x) {
length(endpoints(x,on='days'))-1
}
#' @rdname ndays
`nweeks` <-
function(x) {
length(endpoints(x,on='weeks'))-1
}
#' @rdname ndays
`nmonths` <-
function(x) {
length(endpoints(x,on='months'))-1
}
#' @rdname ndays
`nquarters` <-
function(x) {
length(endpoints(x,on='quarters'))-1
}
#' @rdname ndays
`nyears` <-
function(x) {
length(endpoints(x,on='years'))-1
}
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