If you read ?hist, you will answer your own question. The issue in your code is the parameter prob = T, which does nothing. By default, hist reports density. -------------------------------------- Jonathan P. Daily Technician - USGS Leetown Science Center 11649 Leetown Road Kearneysville WV, 25430 (304) 724-4480 "Is the room still a room when its empty? Does the room, the thing itself have purpose? Or do we, what's the word... imbue it." - Jubal Early, Firefly
r-help-boun...@r-project.org wrote on 03/03/2011 09:03:21 AM: > [image removed] > > [R] Probabilities greather than 1 in HIST > > jpmaroco > > to: > > r-help > > 03/03/2011 10:13 AM > > Sent by: > > r-help-boun...@r-project.org > > Dear all, > I am a newbie in R and could not find help on this problem. I am trying to > plot an histogram with probabilities in the y axis. This is the code I am > using: > > #TLC uniform > n=30 > mi=1; mx=6 > nrep=1000 > xbar=rep(0,nrep) > for (i in 1:nrep) {xbar[i]=mean(runif(n,min=mi,max=mx))} > hist(xbar,prob=TRUE,breaks="Sturges",xlim=c(1,6),main=paste("n =",n), > xlab="Média", ylab="Probabilidade") > curve(dnorm(x,mean=mean(xbar),sd=sd(xbar)),add=TRUE,lwd=2,col="red") > > The problem is that I am getting greater than 1 probabilities in the Y axis? > Is there a way to correct this? > Many thanks in advance. > Joao > > -- > View this message in context: http://r.789695.n4.nabble.com/ > Probabilities-greather-than-1-in-HIST-tp3333388p3333388.html > Sent from the R help mailing list archive at Nabble.com. > [[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. ______________________________________________ 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.