The test is manova. I tried to use manova() function, I used the code
below:fit <- manova(Y ~ X)summary(fit, test="Wilks")but I get p values for
intercept and regression coefficient as in anova() function, not for the hull
model.
Date: Mon, 7 Feb 2011 00:57:43 -0800
Subjec
Deniz,
>> There are 3 F statistics, R2 and p-values. But I want just one R2 and
>> pvalue for my multivariate
>> regression model.
Which is as it should.
Maybe the following will help, but we are making the dependent variables the
independent variables, which may or may not be what you really
Hi:
You don't state the test for which you want the p-value, and to reiterate
what Dr. Ligges asked in response to your earlier post, how do you propose
to define a single R^2 measure? One may be able to answer your question re
an overall significance test using the anova() function:
> Y<-matrix(
#I have got 3 dependent variables:
Y<-matrix(c(3,5,6,3,4,2,4,5,3,2,3,5,6,3,4,2,4,5,3,2,3,5,6,3,4,2,4,5,3,2), nrow
= 10, ncol=3, byrow=TRUE)
#I've got one independent variable:
X<-matrix(c(42,54,67,76,45,76,54,87,34,65), nrow = 10, ncol=1, byrow=TRUE)
summary(lm(Y~X))
and the result is as bel
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