PCA: Principal component analysis for given set of variables...
In Echisholm21/multivaR: Multivariate Analysis Tools for Maritime DFO
PCA R Documentation
Principal component analysis for given set of variables
Performs a principal components analysis using the stats package, on all
variables provided in data. Converts to
data.table and removes duplicate or incomplete rows before processing.
Description
Principal component analysis for given set of variables
Performs a principal components analysis using the stats package, on all
variables provided in data. Converts to
data.table and removes duplicate or incomplete rows before processing.
Usage
PCA(data)
Arguments
data
a datatable or dataframe with varibles to be analyzed for PCA, note the dat atable provided should be a subset excluding any metadata columns
Author(s)
Daniel Reed, Emily Chisholm
Echisholm21/multivaR documentation built on March 30, 2022, 5:55 a.m.
R Package Documentation
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| PCA | R Documentation |
Principal component analysis for given set of variables
Performs a principal components analysis using the stats package, on all
variables provided in data. Converts to
data.table and removes duplicate or incomplete rows before processing.
Description
Principal component analysis for given set of variables
Performs a principal components analysis using the stats package, on all
variables provided in data. Converts to
data.table and removes duplicate or incomplete rows before processing.
Usage
PCA(data)
Arguments
data |
a datatable or dataframe with varibles to be analyzed for PCA, note the dat atable provided should be a subset excluding any metadata columns |
Author(s)
Daniel Reed, Emily Chisholm
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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