GMD.biplot: A "supervised" GMD biplot
In pknight24/KPR: Kernel-penalized regression
GMD.biplot R Documentation
A "supervised" GMD biplot
Description
This plots a GMD biplot where the axes correspond to first and second
GMD components of the data, as described by Wang et al.
Usage
GMD.biplot(X, Y = NULL, H = diag(nrow(X)), Q = diag(ncol(X)), K = 10)
Arguments
X
An n by p data matrix.
Y
An optional outcome vector. If provided, the points in the biplot will be colored according to the corresponding value in Y.
H
An n by n sample-wise similarity kernel.
Q
A p by p variable-wise similarity kernel.
K
An integer, corresponding to the number of GMD components to compute.
References
Wang et al. Technical report.
pknight24/KPR documentation built on Aug. 5, 2023, 7:01 a.m.
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| GMD.biplot | R Documentation |
A "supervised" GMD biplot
Description
This plots a GMD biplot where the axes correspond to first and second GMD components of the data, as described by Wang et al.
Usage
GMD.biplot(X, Y = NULL, H = diag(nrow(X)), Q = diag(ncol(X)), K = 10)
Arguments
X |
An n by p data matrix. |
Y |
An optional outcome vector. If provided, the points in the biplot will be colored according to the corresponding value in Y. |
H |
An n by n sample-wise similarity kernel. |
Q |
A p by p variable-wise similarity kernel. |
K |
An integer, corresponding to the number of GMD components to compute. |
References
Wang et al. Technical report.
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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