Hi Daniela, There may be other more elegant ways of doing it, but here is one:
> myD <- data.frame(code = sample(3, 10, rep = T), prev = rnorm(10), Pr_mean = > 0) > myD code prev Pr_mean 1 3 -0.06710968 0 2 2 -1.43422034 0 3 1 0.22717580 0 4 3 0.32703754 0 5 3 1.26254159 0 6 2 0.65104107 0 7 1 -0.74293152 0 8 3 0.45845330 0 9 2 -0.64206400 0 10 3 -0.48671646 0 > m <- tapply(myD$prev, myD$code, mean) > myD$Pr_mean <- m[match(myD$code, names(m))] > myD code prev Pr_mean 1 3 -0.06710968 0.2988413 2 2 -1.43422034 -0.4750811 3 1 0.22717580 -0.2578779 4 3 0.32703754 0.2988413 5 3 1.26254159 0.2988413 6 2 0.65104107 -0.4750811 7 1 -0.74293152 -0.2578779 8 3 0.45845330 0.2988413 9 2 -0.64206400 -0.4750811 10 3 -0.48671646 0.2988413 Hope this helps. Ciao, Giovanni > Date: Tue, 08 Jul 2008 13:18:13 +0000 (GMT) > From: Daniela Ottaviani <[EMAIL PROTECTED]> > Sender: [EMAIL PROTECTED] > Precedence: list > DomainKey-Signature: a=rsa-sha1; q=dns; c=nofws; s=s1024; d=yahoo.it; > > Dear All, > > I have a database of 200 observations named myD. > In the dataframe there are a column named code (with codes varying from 1 to > 77), a column named "prevalence" with some quantitative measurements are > given and an column named Pr_mean, with no values. > > I would like to set a cycle to compute the average of prevalence values for > each different code and store the averages under the empty field Pr_mean. > > This is what I wrote: > > # Set a cycle > for (i in 1:nrow(myD)) { > mycode = myD$code[i] > mymean[i] = mean(prevalence) > myD$Pr_mean[i] = mymean[i] > } > > With the above cycle I am able to compute the average of all 200 observations > which is then written in every cell. > I understand that a condition is missing, that indicates that the average has > to be computed amongst the observations showing the same codes values. > > Could you please help me ? > > > D. > > > > Posta, news, sport, oroscopo: tutto in una sola pagina. > Crea l'home page che piace a te! > www.yahoo.it/latuapagina > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- Giovanni Petris <[EMAIL PROTECTED]> Department of Mathematical Sciences University of Arkansas - Fayetteville, AR 72701 Ph: (479) 575-6324, 575-8630 (fax) http://definetti.uark.edu/~gpetris/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.