# [R] Obtaining the adjusted r-square given the regression coefficients

Uwe Ligges ligges at statistik.uni-dortmund.de
Wed Jan 11 09:08:21 CET 2006

```Alexandra R. M. de Almeida wrote:

> Dear list
>
> I want to obtain the adjusted r-square given a set of coefficients
> (without the intercept), and I don't know if there is a function that
> does it. Exist???????????????? I know that if you make a linear

Uwe Ligges

> regression, you enter the dataset and have in "summary" the adjusted
> r-square. But this is calculated using the coefficients that R
> obtained,and I want other coefficients that i calculated separately
> and differently (without the intercept term too). I have made a
> function based in the equations of the book "Linear Regression
> Analisys" (Wiley Series in probability and mathematical statistics),
> but it doesn't return values between 0 and 1. What is wrong???? The
> functions is given by:
>
>
>  if(is.matrix(X)==F) (X<-as.matrix(X)) if(is.matrix(saM)==F)
>  SYY<-matrix(0,ncol=ncol(Y),nrow=1) for (i in 1:ncol(RY)) {
>  SYY[,i]<-sum((RY[,i]-mean(RY[,i]))^2)
>  }
>
>
>
> Thanks! Alexandra
>
>
>
> Alexandra R. Mendes de Almeida
>
>
>
>
>  ---------------------------------
>
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