manta.ss {manta} | R Documentation |
Sums of Squares and Pseudo-F Statistics from a Multivariate Fit
Description
Computes the sum of squares, degrees of freedom, pseudo-F statistics and
partial R-squared for each predictor from a multivariate fit
.
It also returns the eigenvalues of the residual covariance matrix.
Usage
manta.ss(fit, X, type = "II", subset = NULL, tol = 0.001)
Arguments
fit |
multivariate fit obtained by |
X |
design matrix obtained by |
type |
type of sum of squares (" |
subset |
subset of predictors for which summary statistics will be reported.
Note that this is different from the " |
tol |
|
Details
Different types of sums of squares (i.e. "I
", "II
" and
"III
") are available.
Value
A list containing:
SS |
sums of squares for all predictors (and residuals). |
df |
degrees of freedom for all predictors (and residuals). |
f.tilde |
pseudo-F statistics for all predictors. |
r2 |
partial R-squared for all predictors. |
e |
eigenvalues of the residual covariance matrix. |
Author(s)
Diego Garrido-MartÃn