Description Usage Arguments Value Details Author(s) Examples
A function for implementing the Low-rank Canonical Correlation Analysis (LR-CCA) Algorithm.
1 | lol.project.lrcca(X, Y, r, ...)
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X |
[n, d] the data with |
Y |
[n] the labels of the samples with |
r |
the rank of the projection. |
... |
trailing args. |
A list containing the following:
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the eigen values associated with the eigendecomposition. |
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For more details see the help vignette:
vignette("lrcca", package = "lolR")
Eric Bridgeford and Minh Tang
1 2 3 4 | library(lolR)
data <- lol.sims.rtrunk(n=200, d=30) # 200 examples of 30 dimensions
X <- data$X; Y <- data$Y
model <- lol.project.lrcca(X=X, Y=Y, r=5) # use lrcca to project into 5 dimensions
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