znormalize: Z-normalization
In Jakob-Bach/FastTSDistances: Fast dissimilarity computations for time series
Description
Usage
Arguments
Value
Description
Calculates the z-normalization by subtracting the mean and dividing by the
standard deviation (constant series are normalized to 0). Multi-variate time
series (matrices) are normalized per column.
Usage
1
znormalize(x)
Arguments
x
A numeric vector/matrix (uni- or multivariate time series).
Value
Z-normalized time series.
Jakob-Bach/FastTSDistances documentation built on May 13, 2019, 1:15 p.m.
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Description Usage Arguments Value
Description
Calculates the z-normalization by subtracting the mean and dividing by the standard deviation (constant series are normalized to 0). Multi-variate time series (matrices) are normalized per column.
Usage
1 | znormalize(x)
|
Arguments
x |
A numeric vector/matrix (uni- or multivariate time series). |
Value
Z-normalized time series.
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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