PCA: Principal component analysis for given set of variables...
In EOGrady21/multivaR: Multivariate Analysis Tools for Maritime DFO
Description
Usage
Arguments
Author(s)
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
1
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
EOGrady21/multivaR documentation built on March 3, 2022, 12:01 a.m.
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Description Usage Arguments Author(s)
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
1 |
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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