- 1. Re: [S] R-square from Linear Model (score: 1)
- Author: Adelchi Azzalini <adelchi.azzalini@jrc.it>
- Date: Mon, 10 May 1999 19:20:04 +0100
- assume that fit contains the outcome from lm(), then you get what you want with summary(fit)$r.squared However, for the intercept, the recommended procedure is coef(fit)[1] best wishes Adelchi Azzali
- /archives/html/s-news/1999-05/msg00072.html (8,091 bytes)
- 2. Re: [S] solve() (score: 1)
- Author: Adelchi Azzalini <adelchi.azzalini@jrc.it>
- Date: Mon, 17 May 1999 11:02:27 +0100
- ..... use orthogonal polynomials good luck Adelchi Azzalini -- This message was distributed by s-news@wubios.wustl.edu. To unsubscribe send e-mail to s-news-request@wubios.wustl.edu with the BODY of
- /archives/html/s-news/1999-05/msg00178.html (8,165 bytes)
- 3. Re: [S] Incomplete Gamma function (score: 1)
- Author: Adelchi Azzalini <adelchi.azzalini@jrc.it>
- Date: Wed, 19 May 1999 12:32:34 +0100
- The term "incomplete gamma" is used with slightly different meaning by different authors, but they are all closely related. In what seems to be the more common terminology, incomplete.gamma <-functio
- /archives/html/s-news/1999-05/msg00202.html (7,868 bytes)
- 4. Re: [S] 2 questions (score: 1)
- Author: Adelchi Azzalini <adelchi.azzalini@jrc.it>
- Date: Wed, 19 May 1999 13:20:22 +0100
- probably there is a beautiful package which does this sort of things, and I would like to know about it. In the meantime, the next function is a very crude option: draw.ellipse <- function(center,r1,
- /archives/html/s-news/1999-05/msg00204.html (8,353 bytes)
- 5. [S] Re: (score: 1)
- Author: Adelchi Azzalini <adelchi.azzalini@jrc.it>
- Date: Fri, 30 Apr 1999 10:46:43 +0100
- Hi. You could do the following: x[x[,1]==1,-1] <- rep(0,ncol(x)-1) Regards Adelchi Azzalini -- This message was distributed by s-news@wubios.wustl.edu. To unsubscribe send e-mail to s-news-request@w
- /archives/html/s-news/1999-04/msg00291.html (8,117 bytes)
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