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# Do this in a separate file to see the generated help:
#library(devtools)
#document()
#load_all(as.package("../../onlineforecast"))
#?in_range
#' Returns a logical vector of boolean values where TRUE indicates if timestamp is within the specified period.
#'
#' Returns a logical vector of boolean values where TRUE indicates if timestamp is within the specified period spanned by tstart and tend.
#'
#' Note the convention of time stamp in the end of the time intervals causes the time point which equals \code{tstart} not to be included. See last example.
#'
#' The times can be given as character or POSIX, per default in tz='GMT'.
#'
#' @title Selects a period
#' @param tstart The start of the period.
#' @param time The timestamps as POSIX.
#' @param tend The end of the period. If not given then the period will have no end.
#' @return A logical vector indicating the selected period with TRUE
#' @name in_range
#' @examples
#'
#' # Take a subset
#' D <- subset(Dbuilding, c("2010-12-15", "2011-01-01"))
#'
#' # Just a logical returning TRUE in a specified period
#' in_range("2010-12-20", D$t, "2010-12-22")
#'
#' # Set which period to evaluate when optimizing parameters, like in rls_optim()
#' # (the points with scoreperiod == false are not included in the score evaluation)
#' D$scoreperiod <- in_range("2010-12-20", D$t)
#' D$scoreperiod
#'
#' # Further, excluding a small period by
#' D$scoreperiod[in_range("2010-12-26", D$t, "2010-12-27")] <- FALSE
#' D$scoreperiod
#'
#' # Note the convention of time stamp in the end of the time intervals
#' # causes the point with t = 2010-12-26 00:00:00 not to be included, since it's covering to "2010-12-25 23:00:00" to "2010-12-26 00:00:00"
#' D$t[in_range("2010-12-26", D$t, "2010-12-27")]
#'
#'
#' @export
in_range <- function(tstart, time, tend=NA) {
if (class(tstart)[1] == "character")
tstart <- asct(tstart)
if (is.na(tend))
tend <- time[length(time)]
if (class(tend)[1] == "character")
tend <- asct(tend)
asct(tstart) < time & time <= asct(tend)
}