mlmWithCov {dominanceanalysis} | R Documentation |
Uses covariance/correlation matrix to calculate multivariate index of fit
Description
Calculate and
for multivariate regression
Could be used with
dominanceAnalysis
to
perform a multivariate dominance analysis without original
data.
Usage
mlmWithCov(f, x)
Arguments
f |
formula. Should use |
x |
correlation/covariance matrix |
Value
r.squared.xy |
|
p.squared.yx |
|
formula |
formula provided as parameter |
cov |
covariance/correlation matrix provided as parameter |
Examples
library(car)
cor.m<-matrix(c(
1.0000000, 0.7951377, 0.2617168, 0.6720053, 0.3390278,
0.7951377, 1.0000000, 0.3341037, 0.5876337, 0.3404206,
0.2617168, 0.3341037, 1.0000000, 0.3703162, 0.2114153,
0.6720053, 0.5876337, 0.3703162, 1.0000000, 0.3548077,
0.3390278, 0.3404206, 0.2114153, 0.3548077, 1.0000000),
5,5,
byrow = TRUE,
dimnames = list(
c("na","ss","SAT","PPVT","Raven"),
c("na","ss","SAT","PPVT","Raven")))
lwith<-mlmWithCov(cbind(na,ss)~SAT+PPVT+Raven,cor.m)
da<-dominanceAnalysis(lwith)
print(da)
summary(da)
[Package dominanceanalysis version 2.1.0 Index]