cancorPlus {multiUS} | R Documentation |
Canonical correlations
Description
The function computes canonical correlations (by using cc
or cancor
functions) and provides with the test of
canonical correlations and with the eigenvalues of the canonical roots (including with the proportion of explained variances by correlation and other related
statistics).
Usage
cancorPlus(x, y, xcenter = TRUE, ycenter = TRUE, useCCApackage = FALSE)
Arguments
x |
A data frame or a matrix with the values that correspond to the first set of variables ( |
y |
A data frame or a matrix with the values that correspond to the second set of variables ( |
xcenter |
Whether any centring have to be done on the |
ycenter |
Analogous to |
useCCApackage |
Whether |
Value
The function returns the same output as functions cancor
or cc
with the following additional elements:
-
$sigTest
-
WilksL
- Value of the Wilk's lambda statistic (it is a generalization of the multivariate R2; values near 0 indicate high correlation while values near 1 indicate low correlation). -
F
- Corresponding (to Wilk's lambda) F-ratio. -
df1
- Degrees of freedom for the corresponding F-ratio. -
df2
- Degrees of freedom for the corresponding F-ratio. -
p
- Probability value (p-value) for the corresponding F-ratio (Ho: The current and all the later canonical correlations equal to zero).
-
-
$eigModel
-
Eigenvalues
- Eigenvalues of the canonical roots. -
%
- Proportion of explained variance of correlation. -
Cum %
- Cumulative proportion of explained variance of correlation. -
Cor
- Canonical correlation coefficient. -
Sq. Cor
- Squared canonical correlation coefficient.
-
Author(s)
Adapted by Aleš Žiberna based on the source in References.
References
R Data Analysis Examples: Canonical Correlation Analysis, UCLA: Statistical Consulting Group. From http://www.ats.ucla.edu/stat/r/dae/canonical.htm (accessed Decembar 27, 2013).
See Also
testCC
Examples
cancorPlus(x = mtcars[, c(1,2,3)], y = mtcars[, c(4,5, 6)])