prep.detrend.differencing: Detrend with differencing method
In predtoolsTS: Time Series Prediction Tools
Description
Usage
Arguments
Details
Value
Examples
Description
Performs differencing with lag=1.
Usage
1
prep.detrend.differencing(tserie, nd = NULL)
Arguments
tserie
a ts object
nd
number of differences to apply. As default its value is NULL; in this case, the function will perform an automatic estimation of nd.
Details
If no number of differences is specified, the function will make an estimation
of the number of differences needed based on unit root test provided by forecast::ndiffs
Value
A list is returned containing:
tserie
Transformed ts object.
nd
Number of differencies applied.
firstvalues
Lost values after differencing.
Examples
1
2
predtoolsTS documentation built on May 2, 2019, 5:54 a.m.
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Description Usage Arguments Details Value Examples
Description
Performs differencing with lag=1.
Usage
1 | prep.detrend.differencing(tserie, nd = NULL)
|
Arguments
tserie |
a |
nd |
number of differences to apply. As default its value is NULL; in this case, the function will perform an automatic estimation of |
Details
If no number of differences is specified, the function will make an estimation
of the number of differences needed based on unit root test provided by forecast::ndiffs
Value
A list is returned containing:
tserie |
Transformed ts object. |
nd |
Number of differencies applied. |
firstvalues |
Lost values after differencing. |
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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