pdf (probability distribution function) and cdf
On May 17, 2011, at 6:00 PM, Alaios wrote:
and what about the cdf of function?
Did you read the help page for dnorm? -- David.
Regards Alex --- On Tue, 5/17/11, Downey, Patrick <PDowney at urban.org> wrote:
From: Downey, Patrick <PDowney at urban.org> Subject: RE: [R] pdf (probability distribution function) and cdf To: "Alaios" <alaios at yahoo.com>, "Jonathan Daily" <biomathjdaily at gmail.com
Cc: R-help at r-project.org Date: Tuesday, May 17, 2011, 6:17 PM ?dnorm -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Alaios Sent: Tuesday, May 17, 2011 12:50 PM To: Jonathan Daily Cc: R-help at r-project.org Subject: Re: [R] pdf (probability distribution function) and cdf I am assuming a Gaussian distribution with specific mean and standard deviation --- On Tue, 5/17/11, Jonathan Daily <biomathjdaily at gmail.com> wrote:
From: Jonathan Daily <biomathjdaily at gmail.com> Subject: Re: [R] pdf (probability distribution
function) and cdf
To: "Alaios" <alaios at yahoo.com> Cc: R-help at r-project.org Date: Tuesday, May 17, 2011, 3:18 PM Do you have a reproducible example? As posed I have no idea what this vector contains. Are you assuming a specific distribution type and
using these vectors
to parameterize it? On Tue, May 17, 2011 at 10:08 AM, Alaios <alaios at yahoo.com> wrote:
Dear all, I would like for a given vector to calculate the
and the cdf and then plot these two graphs.
Is there in R any toolkit that can help me do
that
fast?
Regards Alex
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______________________________________________ R-help at 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 at 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.
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