na.interp: Interpolate missing values in a time series
In a1967fa/f-cast: Forecasting Functions for Time Series and Linear Models
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Uses linear interpolation for non-seasonal series and a periodic stl
decomposition with seasonal series to replace missing values.
Usage
1
Arguments
x
time series
lambda
Box-Cox decomposition parameter. If NULL, no transformation
is used. If lambda="auto", a transformation is automatically selected. If
lambda takes a numerical value, it is used as the parameter of the Box-Cox transformation.
Details
A more general and flexible approach is available using na.approx in
the zoo package.
Value
Time series
Author(s)
Rob J Hyndman
See Also
Examples
1
2
a1967fa/f-cast documentation built on May 29, 2019, 12:05 a.m.
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.
Description Usage Arguments Details Value Author(s) See Also Examples
Description
Uses linear interpolation for non-seasonal series and a periodic stl decomposition with seasonal series to replace missing values.
Usage
1 |
Arguments
x |
time series |
lambda |
Box-Cox decomposition parameter. If |
Details
A more general and flexible approach is available using na.approx in
the zoo package.
Value
Time series
Author(s)
Rob J Hyndman
See Also
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.