extract.fp.mean: Extract Fingerprints by Averaging Across the Feature Series
In LiKao/VoiceExperiment: Analysis of Vocal Responses to Psychological Experiments
Description
Usage
Arguments
Details
Description
Extract Fingerprints by Averaging Across the Feature Series
Usage
1
extract.fp.mean(fs)
Arguments
fs
The feature time series from which the fingerprints should be extracted
Details
This method creates a fingerprint by averaging across all repeated measurements of the
same feature. This removes any kind of time information but keeps differences in the
absolute intensity of the features intact.
LiKao/VoiceExperiment documentation built on May 7, 2019, 1:19 p.m.
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Description Usage Arguments Details
Description
Extract Fingerprints by Averaging Across the Feature Series
Usage
1 | extract.fp.mean(fs)
|
Arguments
fs |
The feature time series from which the fingerprints should be extracted |
Details
This method creates a fingerprint by averaging across all repeated measurements of the same feature. This removes any kind of time information but keeps differences in the absolute intensity of the features intact.
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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