calcMeanVec: Calculate the centroid of the individual identity traits
In IDmeasurer: Assessment of Individual Identity in Animal Signals
Description
Usage
Arguments
Value
See Also
Examples
Description
This function calculates centroid of the individual identity traits.
Euclidean distances are used.
Usage
1
Arguments
df
A data frame with the individual identity traits without identity
codes (NA will be produced for the column with identity code).
Value
Numeric vector with the centroid values for each trait.
See Also
Other calcHM support function: calcDistT,
calcDistW
Examples
1
2
3
4
5
#incorrect use (with identity codes, NA will be produced):
calcMeanVec(ANmodulation)
#correct use (with identity codes removed)
calcMeanVec(ANmodulation[-1])
IDmeasurer documentation built on May 9, 2019, 5:02 p.m.
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Description Usage Arguments Value See Also Examples
Description
This function calculates centroid of the individual identity traits. Euclidean distances are used.
Usage
1 |
Arguments
df |
A data frame with the individual identity traits without identity codes (NA will be produced for the column with identity code). |
Value
Numeric vector with the centroid values for each trait.
See Also
Other calcHM support function: calcDistT,
calcDistW
Examples
1 2 3 4 5 | #incorrect use (with identity codes, NA will be produced):
calcMeanVec(ANmodulation)
#correct use (with identity codes removed)
calcMeanVec(ANmodulation[-1])
|
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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