NIPALSPCA: NIPALS algorithm for PCA
In villardon/MultBiplotR: Multivariate Analysis Using Biplots in R
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
Classical NIPALS algorithm for PCA and Biplot.
Usage
1
NIPALSPCA(X, dimens = 2, tol = 1e-06, maxiter = 1000)
Arguments
X
The data matrix.
dimens
The dimension of the solution
tol
Tolerance of the algorithm.
maxiter
Maximum number of iteratios.
Details
Classical NIPALS algorithm for the singular value decomposition that allows for the construction of PCA and Biplot.
Value
The singular value decomposition
u
The coordinates of the rows (standardized)
d
The singuklar values
v
The coordinates of the columns (standardized)
Author(s)
Jose Luis Vicente Villardon
References
Wold, H. (1966). Estimation of principal components and related models by iterative least squares. Multivariate analysis. ACEDEMIC PRESS. 391-420.
Examples
1
# Not yet
villardon/MultBiplotR documentation built on June 5, 2021, 8:55 a.m.
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Description Usage Arguments Details Value Author(s) References Examples
Description
Classical NIPALS algorithm for PCA and Biplot.
Usage
1 | NIPALSPCA(X, dimens = 2, tol = 1e-06, maxiter = 1000)
|
Arguments
X |
The data matrix. |
dimens |
The dimension of the solution |
tol |
Tolerance of the algorithm. |
maxiter |
Maximum number of iteratios. |
Details
Classical NIPALS algorithm for the singular value decomposition that allows for the construction of PCA and Biplot.
Value
The singular value decomposition
u |
The coordinates of the rows (standardized) |
d |
The singuklar values |
v |
The coordinates of the columns (standardized) |
Author(s)
Jose Luis Vicente Villardon
References
Wold, H. (1966). Estimation of principal components and related models by iterative least squares. Multivariate analysis. ACEDEMIC PRESS. 391-420.
Examples
1 | # Not yet
|
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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