transformation_imf_window: Generate a function for windowing sensor data after applying...
In Sage-Bionetworks/mhealthtools: mhealthtools - Package for processing mobile sensor data and to extract meaningful features
Description
Usage
Arguments
Value
Description
Apply empirical mode decomposition to sensor data, then window the result.
Usage
1
transformation_imf_window(window_length, window_overlap, max_imf)
Arguments
window_length
Length of the sliding window.
window_overlap
Fraction in the interval [0, 1) specifying the amount of
window overlap.
max_imf
The maximum number of IMF's during EMD
Value
A function that accepts as input a dataframe with columns
t, axis, value and outputs a windowed transformation of that
dataframe's EMD.
Sage-Bionetworks/mhealthtools documentation built on Sept. 20, 2020, 1:42 p.m.
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Description Usage Arguments Value
Description
Apply empirical mode decomposition to sensor data, then window the result.
Usage
1 | transformation_imf_window(window_length, window_overlap, max_imf)
|
Arguments
window_length |
Length of the sliding window. |
window_overlap |
Fraction in the interval [0, 1) specifying the amount of window overlap. |
max_imf |
The maximum number of IMF's during EMD |
Value
A function that accepts as input a dataframe with columns t, axis, value and outputs a windowed transformation of that dataframe's EMD.
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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