PCA: Principal Component Analysis
In provenance: Statistical Toolbox for Sedimentary Provenance Analysis
PCA R Documentation
Principal Component Analysis
Description
Performs PCA of compositional data using a centred logratio
distance
Usage
PCA(x, ...)
Arguments
x
an object of class compositional
...
optional arguments to R's princomp function
Value
an object of classes PCA, which is synonymous to the
stats package's prcomp class.
Examples
data(Namib)
plot(MDS(Namib$Major,classical=TRUE))
dev.new()
plot(PCA(Namib$Major),asp=1)
print("This example demonstrates the equivalence of classical MDS and PCA")
provenance documentation built on May 29, 2024, 4:23 a.m.
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| PCA | R Documentation |
Principal Component Analysis
Description
Performs PCA of compositional data using a centred logratio distance
Usage
PCA(x, ...)
Arguments
x |
an object of class |
... |
optional arguments to R's |
Value
an object of classes PCA, which is synonymous to the
stats package's prcomp class.
Examples
data(Namib)
plot(MDS(Namib$Major,classical=TRUE))
dev.new()
plot(PCA(Namib$Major),asp=1)
print("This example demonstrates the equivalence of classical MDS and PCA")
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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