cancorRed: Calculate first canonical correlation
In kernDeepStackNet: Kernel Deep Stacking Networks

Description Usage Arguments Details Value Note Author(s) See Also

Calculates the first canonical correlation between two sets of variables.

1	cancorRed(x, y, xcenter = TRUE, ycenter = TRUE)

`x`	Numeric matrix (n * p1), containing the x coordinates.
`y`	Numeric matrix (n * p2), containing the y coordinates.
`xcenter`	Logical or numeric vector of length p1, describing any centering to be done on the x values before the analysis. If the argument is TRUE (default), then all columns are centered. Otherwise not adjustment is made.
`ycenter`	analogous to xcenter, but for the y values.

The canonical correlation analysis seeks linear combinations of the y variables which are well explained by linear combinations of the x variables. The relationship is symmetric as 'well explained' is measured by correlations.

First canonical correlation (numeric vector).

This function is a reduced version of the original Code in the base package cancor. In comparison to the original, it does only calculate the first canonical correlation, but the runtime is reduced.

Thomas Welchowski welchow@imbie.meb.uni-bonn.de

cancor, rdcPart, rdcVarOrder

kernDeepStackNet documentation built on May 2, 2019, 8:16 a.m.