ggcorplot

object containing the <code>sdev</code> component, such as that returned
by <code>rpca</code>

rpcaObj

array_like 
an array with two values indicating which two PCs should be plotted,
by default the first two PCs are used, e.g., $c(1,2)$. 

.................


Creates a pretty plot which is showing the correlation of
   the original variable with the principal component (PCs).


Randomized singular value decomposition (rsvd) is a very fast probabilistic
algorithm to compute an approximated low-rank singular value decomposition of large
data sets with high accuracy. SVD plays a central role in data analysis and scientific computing.
SVD is also widely used for computing principal component analysis (PCA), a linear dimensionality reduction technique.
Randomized PCA (rpca) is using the approximated singular value decomposition to compute the most significant principal components. In addition several plot functions are provided.

ggcorplot: Correlation plot

Description

Usage

Arguments

See Also

Examples