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<R output="html" iframe="width:100%;height:250px;"> prob=0.15; nmin=1; nmax=15; x=6 m <-pbinom(rep(0:x, each = nmax-nmin+1), rep(nmin:nmax,x), prob) dim(m) <- c(nmax-nmin+1,x+1) m <- t(m) colnames(m) <- format(nmin:nmax) rownames(m) <- format(0:x) outHTML(rhtml, m, title="x\n", format="f", digits=4) </R>

<R output="display" iframe="width:400px;height:400px"> pdf(rpdf, width=5, height=5) n <- 10 prob <- 0.2 x <- seq(0, n, 1) p <- dbinom(x, n, prob) param <- list(n, prob) main <- c("Binomialverteilung - Wahrscheinlichkeitsfunktion", paste (c("Stichprobenumfang n", "Wahrscheinlichkeit p"), param, sep="=")) plot(x,p, type="h", main=main) </R>

<R>1:20</R>

hola [1]

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Totes los resumits de Medline : PubMed | HubMed






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Totes los resumits de Medline : PubMed | HubMed

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  21. 2007afp pmid=17492070
  22. 2007ju pmid=17499293
  23. 2007clt pmid=17292541
  24. 2007mcp pmid=17290734
  25. 2006aeu1 pmid=17283721
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  42. 2006upur pmid=16504254
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  44. 2006ijcp pmid=17109668
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  46. cks hbp