[R] pdf (probability distribution function) and cdf

[Alaios]

and what about the cdf of function?

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
> pdf
> > and the cdf and then plot these two graphs.
> > > Is there in R any toolkit that can help me do
> that
> > fast?
> > >
> > > Regards
> > > Alex
> > >
> > > ______________________________________________
> > > R-help at r-project.org
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> > > PLEASE do read the posting guide 
> > > http://www.R-project.org/posting-guide.html
> > > and provide commented, minimal, self-contained,
> > reproducible code.
> > >
> > 
> > 
> > 
> > --
> > ===============================================
> > Jon Daily
> > Technician
> > ===============================================
> > #!/usr/bin/env outside
> > # It's great, trust me.
> >
> 
> ______________________________________________
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> reproducible code.
>