plot.lasec: Plot results of LaSEC analysis.
In akiopteryx/lambda: LandMark-Based Data Assessment
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
Generates landmark sampling curves from LaSEC results.
Usage
1
plot.lasec(lasec.result)
Arguments
lasec.result
Variable recording entire LaSEC output.
Details
The function allows user to generate landmark sampling curves from LaSEC results on their own.
Value
The function creates a landmark sampling curve to assess the quality of shape data.
Author(s)
Akinobu Watanabe
References
Watanabe, A. 2018. How many landmarks are enough to characterize shape and size variation? PLoS ONE 13(6): e0198341. https://doi.org/10.1371/journal.pone.0198341
Examples
1
2
3
data(crocskull)
lasec.results <- lasec(coord.data=crocskull, n.dim=3, iter=10)
plot.lasec(lasec.results)
akiopteryx/lambda documentation built on Dec. 26, 2020, 7:36 p.m.
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Description Usage Arguments Details Value Author(s) References Examples
Description
Generates landmark sampling curves from LaSEC results.
Usage
1 | plot.lasec(lasec.result)
|
Arguments
lasec.result |
Variable recording entire LaSEC output. |
Details
The function allows user to generate landmark sampling curves from LaSEC results on their own.
Value
The function creates a landmark sampling curve to assess the quality of shape data.
Author(s)
Akinobu Watanabe
References
Watanabe, A. 2018. How many landmarks are enough to characterize shape and size variation? PLoS ONE 13(6): e0198341. https://doi.org/10.1371/journal.pone.0198341
Examples
1 2 3 | data(crocskull)
lasec.results <- lasec(coord.data=crocskull, n.dim=3, iter=10)
plot.lasec(lasec.results)
|
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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