trending: Creates bit-level (trending) representation from a vector
In TSrepr: Time Series Representations
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
The trending Computes bit-level (trending) representation from a vector.
Usage
1
trending(x)
Arguments
x
the numeric vector (time series)
Details
Trending transforms time series to bit-level representation.
It is defined as follows:
repr_t = {1 if x_t - x_{t+1} < 0 , 0 otherwise,}
where x_t is a value of a time series.
Value
the integer vector of zeros and ones
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
See Also
Examples
1
TSrepr documentation built on July 13, 2020, 9:07 a.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
The trending Computes bit-level (trending) representation from a vector.
Usage
1 | trending(x)
|
Arguments
x |
the numeric vector (time series) |
Details
Trending transforms time series to bit-level representation.
It is defined as follows:
repr_t = {1 if x_t - x_{t+1} < 0 , 0 otherwise,}
where x_t is a value of a time series.
Value
the integer vector of zeros and ones
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
See Also
Examples
1 |
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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