svdPCO: Calculate PCO (principal co-ordinates analysis) based on svd
In katrinajones/regions: Analysis of Regions in Serially-homologous Structures
View source: R/pco_selection.R
svdPCO R Documentation
Calculate PCO (principal co-ordinates analysis) based on svd
Description
Calculates distance matrix from raw data, then conducts a PCO ordination using a
single value decomposition.
Usage
svdPCO(x, metric)
Arguments
x
Raw data matrix.
metric
Distance matrix calculation metric. "euclidean", "manhattan", or "gower".
Details
This differs from other PCO functions which use CMDscale that depends on a
spectral decomposition.
Value
PCO scores (scores) and eigenvalues (eigen.val)
katrinajones/regions documentation built on March 23, 2022, 12:12 a.m.
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View source: R/pco_selection.R
| svdPCO | R Documentation |
Calculate PCO (principal co-ordinates analysis) based on svd
Description
Calculates distance matrix from raw data, then conducts a PCO ordination using a single value decomposition.
Usage
svdPCO(x, metric)
Arguments
x |
Raw data matrix. |
metric |
Distance matrix calculation metric. "euclidean", "manhattan", or "gower". |
Details
This differs from other PCO functions which use CMDscale that depends on a
spectral decomposition.
Value
PCO scores (scores) and eigenvalues (eigen.val)
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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