PMaxAA_fast: Piecewise Maximum Aggregate Approximation
In Jakob-Bach/FastTSDistances: Fast dissimilarity computations for time series
Description
Usage
Arguments
Details
Value
See Also
Description
Divides a time series into windowCount frames of equal length and
represents each interval by its maximum. If the time series length is not
divisible by the number of windows, elements still assigned uniquely to one
window each.
Usage
1
PMaxAA_fast(x, windowCount)
Arguments
x
Numeric vector/time series.
windowCount
The number of windows for the shortened time series.
Details
The function is similar to PAA_fast, but simply uses a different
aggregate.
Value
A numeric vector of the length windowCount.
See Also
Other piecewise aggregation functions: PAA_fast,
PKurtAA_fast, PMedAA_fast,
PMinAA_fast, PSDAA_fast,
PSkewAA_fast
Jakob-Bach/FastTSDistances documentation built on May 13, 2019, 1:15 p.m.
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Description Usage Arguments Details Value See Also
Description
Divides a time series into windowCount frames of equal length and
represents each interval by its maximum. If the time series length is not
divisible by the number of windows, elements still assigned uniquely to one
window each.
Usage
1 | PMaxAA_fast(x, windowCount)
|
Arguments
x |
Numeric vector/time series. |
windowCount |
The number of windows for the shortened time series. |
Details
The function is similar to PAA_fast, but simply uses a different
aggregate.
Value
A numeric vector of the length windowCount.
See Also
Other piecewise aggregation functions: PAA_fast,
PKurtAA_fast, PMedAA_fast,
PMinAA_fast, PSDAA_fast,
PSkewAA_fast
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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