You can plot explicitly over a range of x; for example x<-seq(10, 15, 0.1) #for mean 12.5, sd 0.6 plot(x, pnorm(x, 12.5, 0.6), type="l", ylim=c(0,1)
Or you can try the default plot for a univariate function (see ?curve) plot(function(x) pnorm(x, 12.5, 0.6), xlim=c(10,15)) #Note use of the function definition to include explicit mean and sd S Ellison > -----Original Message----- > From: r-help-boun...@r-project.org > [mailto:r-help-boun...@r-project.org] On Behalf Of Alaios > Sent: 02 June 2011 12:06 > To: R-help@r-project.org > Subject: [R] based on mean and std > > Dear all, > I have a few gaussian distributions with known (mean and > sd). How can I plot in R easily the cdf of them? In matlab > there is a guid where you can give the values and have the > plots ready. > > Is anything like that in R? > > Best Regards > Alex > > ______________________________________________ > 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. > ******************************************************************* This email and any attachments are confidential. Any use...{{dropped:8}} ______________________________________________ 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.