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Línia 60: Línia 60:
#2006bmj pmid=16690676
#2006bmj pmid=16690676
#2003bmj pmid=14512475
#2003bmj pmid=14512475
</biblio>
#2003afp pmid=12613733
#2003afp pmid=12613733
#2002cmaj pmid=12197692
#2002cmaj pmid=12197692
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#2007bju pmid=17594349
#2007bju pmid=17594349
#2007cmaj pmid=17576986
#2007cmaj pmid=17576986
</biblio>
#2007ju1 pmid=17509297  
#2007ju1 pmid=17509297  
#2007afp pmid=17492070
#2007afp pmid=17492070

Revisió del 16:55, 26 ago 2011

Probando

<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

  1. 2007ju1 pmid=17509297
  2. 2007afp pmid=17492070
  3. 2007ju pmid=17499293
  4. 2007clt pmid=17292541
  5. 2007mcp pmid=17290734
  6. 2006aeu1 pmid=17283721
  7. 2007cl pmid=17258389
  8. 2007p pmid=17143882
  9. 2007bjui pmid=17550409
  10. 2007urol pmid=17382151
  11. 2005wimj pmid=15999885
  12. 2004bju pmid=14678366
  13. 2002can pmid=12365027
  14. NICE1 Guidance for ...Outcomes in Urological The Research Evidence NICE
  15. 2006oncol pmid=16601365
  16. 2006bju pmid=16566811
  17. 2002cpc pmid=15046699
  18. 2003jafp pmid=12665174
  19. 2002ptt pmid=12111706
  20. 2000jgim pmid=11089718
  21. 2006urol pmid=16600352
  22. 2006ui pmid=16401916
  23. 2006upur pmid=16504254
  24. cocaid pmid=12804407
  25. 2006ijcp pmid=17109668
  26. tramf tacto rectal amf
  27. cks hbp