decompose_traffic: Multi-scale decomposition of time series. (most important...
In vsimko/trafficmsd: Multiscale Decomposition of Network Traffic
Description
Usage
Arguments
Value
View source: R/decomposition.R
Description
The result is a structure list(length, maxscale, coef) where:
- length
Size of the input vector (number of samples)
- maxscale
What is the maximum scale produced by the decomposition.
- coef
-
The output matrix containing the decomposition coeficients.
Rows represent scales (row 1 represents scale 0).
Columns represent time (sample with index same as column number).
Usage
1
decompose_traffic(ts, cutoff.fraction = 0.004)
Arguments
ts
Input vector which represents regularized time-series.
cutoff.fraction
How strongly to optimize the coeficients.
Value
A structure list(length, maxscale, coef)
vsimko/trafficmsd documentation built on May 3, 2019, 7:08 p.m.
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Description Usage Arguments Value
View source: R/decomposition.R
Description
The result is a structure list(length, maxscale, coef) where:
- length
Size of the input vector (number of samples)
- maxscale
What is the maximum scale produced by the decomposition.
- coef
-
The output matrix containing the decomposition coeficients. Rows represent scales (row 1 represents scale 0). Columns represent time (sample with index same as column number).
Usage
1 | decompose_traffic(ts, cutoff.fraction = 0.004)
|
Arguments
ts |
Input vector which represents regularized time-series. |
cutoff.fraction |
How strongly to optimize the coeficients. |
Value
A structure list(length, maxscale, coef)
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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