Truncated.NIPALSPCA: Truncated version of the NIPALS algorithm for PCA.
In villardon/MultBiplotR: Multivariate Analysis Using Biplots in R
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
View source: R/Truncated.NIPALSPCA.R
Description
Truncated version of the NIPALS algorithm for PCA.
Usage
1
Truncated.NIPALSPCA(X, dimens = 2, tol = 1e-06, maxiter = 1000, lambda = 0.02)
Arguments
X
The data matrix.
dimens
The dimension of the solution
tol
Tolerance of the algorithm.
maxiter
Maximum number of iteratios.
lambda
Value used for truncation
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
Have to be written
See Also
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 See Also Examples
View source: R/Truncated.NIPALSPCA.R
Description
Truncated version of the NIPALS algorithm for PCA.
Usage
1 | Truncated.NIPALSPCA(X, dimens = 2, tol = 1e-06, maxiter = 1000, lambda = 0.02)
|
Arguments
X |
The data matrix. |
dimens |
The dimension of the solution |
tol |
Tolerance of the algorithm. |
maxiter |
Maximum number of iteratios. |
lambda |
Value used for truncation |
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
Have to be written
See Also
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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