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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
    
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    #' D <- subset(Dbuilding, c("2010-12-15", "2011-01-01"))
    
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    #'
    #' # 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)
    }