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.
