sklearn.pca: Principal Component Analysis
In erikdf/sklearnPCA: sklearnPCA
Description
Usage
Arguments
Value
Examples
Description
Calls sklearn from Python to perform PCA.
Usage
1
run(x)
Arguments
X
A matrix
Value
A matrix with the first two PC.
Examples
1
2
3
4
require(sklearnPCA)
z = as.matrix(iris[,1:4])
pca = sklearn.pca(z)
plot(pca, col=iris$Species)
erikdf/sklearnPCA documentation built on May 28, 2019, 8:37 p.m.
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Description Usage Arguments Value Examples
Description
Calls sklearn from Python to perform PCA.
Usage
1 | run(x)
|
Arguments
X |
A matrix |
Value
A matrix with the first two PC.
Examples
1 2 3 4 | require(sklearnPCA)
z = as.matrix(iris[,1:4])
pca = sklearn.pca(z)
plot(pca, col=iris$Species)
|
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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