nipals: Principal component analysis
In Swarchal/charDirection: Principal Characteristic Direction
Description
Usage
Arguments
Value
Examples
Description
Calculates the principal components accorindg to the algorithm by Wold
Usage
1
nipals(X, a, it = 10, tolerance = 1e-04)
Arguments
X
matrix or numeric dataframe.
a
integer, number of principal components to calculate.
it
integer, maximum number of iterations if error tolerance is not
reached.
tolerance
float, precision tolerance.
Value
list, T: PCA scores. P: PCA loadings. pcvar: proportion of varation
explained by PCA components
Examples
1
2
Swarchal/charDirection documentation built on May 9, 2019, 3:25 p.m.
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Description Usage Arguments Value Examples
Description
Calculates the principal components accorindg to the algorithm by Wold
Usage
1 | nipals(X, a, it = 10, tolerance = 1e-04)
|
Arguments
X |
matrix or numeric dataframe. |
a |
integer, number of principal components to calculate. |
it |
integer, maximum number of iterations if error tolerance is not reached. |
tolerance |
float, precision tolerance. |
Value
list, T: PCA scores. P: PCA loadings. pcvar: proportion of varation explained by PCA components
Examples
1 2 |
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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