[R] how to calculate Rsquare

[Ronaldo Reis Jr.]

Hi,

I have something like this:

> x <- 1:10
> y2 <- 30+5*x+rnorm(x,sd=3)
> y <- c(y1,y2)
> x <- c(x,x)
> plot(x,y)
> x <- 1:10
> y1 <- 1+5*x+rnorm(x,sd=2)
> y2 <- 30+5*x+rnorm(x,sd=5)
> y <- c(y1,y2)
> x <- c(x,x)
> f <- factor(rep(c("a","b"),c(10,10)))
> m <- lm(y~x+f)
> anova(m)
Analysis of Variance Table

Response: y
          Df Sum Sq Mean Sq F value    Pr(>F)    
x          1 4062.9  4062.9  400.04 2.990e-13 ***
f          1 4421.5  4421.5  435.35 1.496e-13 ***
Residuals 17  172.7    10.2                      
---
Signif. codes:  0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 
> #rsquare of model
> (4062.9+4421.5)/(4062.9+4421.5+172.7)
[1] 0.980051

In this way I calculate the model rsquare, but how to calculate the rsquare of  
each levels "a" and "b"?

This is only an example, the model maybe glm, lme etc.

Thanks
Ronaldo 
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