R/ts.R

Defines functions `as.ts.xts` `as.xts.ts` `re.ts`

#
#   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/>.


# methods for handling ts <--> xts

#`re.ts2` <-
#function(x,...) {
#  # attempt to provide a more robust reclass 'ts' method
#  na.replace <- function(x) {
#    na.removed <- attr(x,'na.action')
#    if(class(na.removed) != 'omit') return()
#    nrows <- NROW(x)
#    xx <- vector('numeric',length=(nrows+length(na.removed)))
#    xx[ na.removed,] <- NA
#    xx[-na.removed] <- x
#    xx
#  }
#}

`re.ts` <-
function(x,...) {
  # major issue with quick reclass.  Basically fails on data < 1970...
  #tsp.attr <- attr(x,'.tsp')
  #freq.attr <- attr(x,'.frequency')

  #xtsAttributes(x) <- NULL

  #ts(coredata(x), start=tsp.attr[1],frequency=freq.attr)
  dim <- attr(x, 'dim')
  if(!is.null(dim) && dim[2]==1) {
    attr(x,'dim') <- attr(x, 'dimnames') <- NULL
  }
  as.ts(x)
}

`as.xts.ts` <-
function(x,dateFormat,...,.RECLASS=FALSE) {
  x.mat <- structure(as.matrix(x),dimnames=dimnames(x))
  colnames(x.mat) <- colnames(x)

  # quick hueristic - if numeric index is larger than one
  # full day of seconds (60*60*24) than use POSIXct, otherwise
  # assume we are counting my days, not seconds, and use Date -jar
  # 
  # I am sure this can be improved upon, but for now it is effective
  # in most circumstances.  Will break if frequency or time is from 1
  # not _break_ but be less useful
  # a bigger question is _should_ it throw an error if it can't guess,
  # or should the user simply beware.

  if(missing(dateFormat)) {
    if(frequency(x) == 1) {
      # assume yearly series: Date
      yr <- tsp(x)[1] %/% 1
      mo <- tsp(x)[1] %%  1
      if(mo %% (1/12) != 0 || yr > 3000) {
        # something finer than year.month is specified - can't reliable convert
        dateFormat <- ifelse(max(time(x)) > 86400,'POSIXct','Date')
        order.by <- do.call(paste('as',dateFormat,sep='.'),
                            list(as.numeric(time(x)),origin='1970-01-01',...))
      } else {
        mo <- ifelse(length(mo) < 1, 1,floor(mo * 12)+1)
        from <- as.Date(firstof(yr,mo),origin='1970-01-01')
        order.by <- seq.Date(from,length.out=length(time(x)),by='year')
      }
    } else
      if(frequency(x) == 4) {
        # quarterly series: yearqtr
        order.by <- as.yearqtr(time(x))
      } else
        if(frequency(x) == 12) {
           # monthly series: yearmon
           order.by <- as.yearmon(time(x))
        } else stop('could not convert index to appropriate type')
  } else  {
    order.by <- do.call(paste('as',dateFormat,sep='.'),
                        list(as.numeric(time(x)),...))
  }


  if(.RECLASS) {
  xx <- xts(x.mat,
            order.by=order.by,
            frequency=frequency(x),
            .CLASS='ts',
            .CLASSnames=c('frequency'),
            .tsp=tsp(x),
#            .frequency=frequency(x),
            ...)
  } else {
  xx <- xts(x.mat,
            order.by=order.by,
            frequency=frequency(x),
            ...)
  }
  attr(xx, 'tsp') <- NULL
  xx
}


`as.ts.xts` <-
function(x,...) {
  #if(attr(x,'.CLASS')=='ts') return(re.ts(x,...))
  TSP <- attr(x, '.tsp')
  attr(x, '.tsp') <- NULL
  x <- ts(coredata(x), frequency=frequency(x), ...)
  if(!is.null(dim(x)) && dim(x)[2]==1)
    dim(x) <- NULL
  if(!is.null(TSP))
    tsp(x) <- TSP
  x
}

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xts documentation built on April 17, 2023, 1:07 a.m.