pca: Implement principal component analysis for dimension...
In specleanr: Detecting Environmental Outliers in Data Analysis Pipelines
pca R Documentation
Implement principal component analysis for dimension reduction
Description
Implement principal component analysis for dimension reduction
Usage
pca(data, npc, q)
Arguments
data
Environmental dataframe
npc
Number of principal components to be retained. Default is 2
q
To show the cumulative total variance explained by the npc selected.
specleanr documentation built on Nov. 26, 2025, 1:07 a.m.
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| pca | R Documentation |
Implement principal component analysis for dimension reduction
Description
Implement principal component analysis for dimension reduction
Usage
pca(data, npc, q)
Arguments
data |
Environmental dataframe |
npc |
Number of principal components to be retained. Default is 2 |
q |
To show the cumulative total variance explained by the |
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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