remix_pca: Perform a principal components analysis on posterior chains
In cbrown5/remixsiar: Post-processing of stable isotope mixing models
Description
Usage
Arguments
Details
Value
Author(s)
Description
PCA can be used as a tool to visualise correlations among
estimates of source contributions.
Usage
1
Arguments
simmr_out
A simmr_output object.
transform
A logical indicating whether to transform diet proportions
using the isometric log-ratio transform.
Details
See prcomp for more details. remix_pca has a print method, to view the variance components. Use remix_biplot to view a biplot.
Transforming the data will tend to increase emphasis on correlations among smaller values.
Value
A prcomp object
Author(s)
Christopher J. Brown
cbrown5/remixsiar documentation built on April 26, 2020, 12:40 a.m.
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Description Usage Arguments Details Value Author(s)
Description
PCA can be used as a tool to visualise correlations among estimates of source contributions.
Usage
1 |
Arguments
simmr_out |
A |
transform |
A |
Details
See prcomp for more details. remix_pca has a print method, to view the variance components. Use remix_biplot to view a biplot.
Transforming the data will tend to increase emphasis on correlations among smaller values.
Value
A prcomp object
Author(s)
Christopher J. Brown
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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