DIF-deprecated: Differencing Transformation

In TSPred: Functions for Benchmarking Time Series Prediction

Description

The DIF() function returns a simple or seasonal differencing transformation of the provided time series. DIF.rev() reverses the transformation. Wrapper functions for diff and diffinv of the stats package, respectively.

Usage

DIF(
  x,
  lag = ifelse(type == "simple", 1, stats::frequency(x)),
  differences = NULL,
  type = c("simple", "seasonal"),
  ...
)

DIF.rev(
  x,
  lag = ifelse(type == "simple", 1, stats::frequency(x)),
  differences = 1,
  xi,
  type = c("simple", "seasonal")
)

Arguments

x	A numeric vector or univariate time series containing the values to be differenced.
lag	Integer indicating the lag parameter. Default set to 1 if type = "simple", or frequency(x) if type = "seasonal".
differences	Integer representing the order of the difference. If NULL, the order of the difference is automatically selected using ndiffs (if type = "simple") or nsdiffs (if type = "seasonal") from the forecast package.
xi	Numeric vector or time series containing the initial values for the integrals. If missing, zeros are used.
type	Character string. Indicates if the function should perform simple or seasonal differencing.
...	Additional arguments passed to ndiffs (if type = "simple") or nsdiffs (if type = "seasonal") from the forecast package.

Value

x if differences is automatically selected, and is not set as greater than 0.

Same as diff otherwise.

Author(s)

Rebecca Pontes Salles

References

R.J. Hyndman and G. Athanasopoulos, 2013, Forecasting: principles and practice. OTexts.

R.H. Shumway and D.S. Stoffer, 2010, Time Series Analysis and Its Applications: With R Examples. 3rd ed. 2011 edition ed. New York, Springer.

See Also

BCT,detrend, MAS, LT, PCT

TSPred-deprecated

TSPred documentation built on Jan. 21, 2021, 5:10 p.m.