://www.cmis.csiro.au/bill.venables/
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Sent: Tuesday, 29 July 2008 6:09 PM
To: r-help@r-project.org; Venables, Bill (CMIS, Cleveland)
Subject: RE: [R] Help interpreting density().
Sorry, poor example. I started with normal deviates and
Hi Kevin,
Clicking on the link I sent gets me there (?), though things are pretty slow
at the moment. Perhaps try this related link, and from it get back to the
first one:
http://en.wikipedia.org/wiki/Density_estimation
You can also get to this via histogram, so search for that in Wiki, and
the
Sorry I tried WikiPedia and only found:
Wikipedia does not have an article with this exact name.
I will try to find some other sources of information.
Kevin
Mark Difford <[EMAIL PROTECTED]> wrote:
>
Hi Kevin,
>> I still have my original question. How does the output relate to
>> estimat
Hi Kevin,
>> I still have my original question. How does the output relate to
>> estimating the parameters
>> of a given density? I read that for a gausian kernal:
This isn't the place for such questions: you need to do some _basic_ reading
on the subject so that you begin to understand somethi
Sorry, poor example. I started with normal deviates and jumped without thinking
to Poisson. The main crux of the question is how does the output of density
relate to the parameters that describe some of the standard distributions (mean
and std for normal, lambda for Poisson, n and p for Binomial
OK. Thank you for pointing out my mistake.
I still have my original question. How does the output relate to estimating the
parameters of a given density? I read that for a gausian kernal:
bw.nrd0 implements a rule-of-thumb for choosing the bandwidth of a Gaussian
kernel density estimator. It de
Hi Kevin,
>> The documentation indicates that the bw is essentially the sd.
>> > d <- density(rnorm(1000))
Not so. The documentation states that the following about "bw": "The kernels
are scaled such that this is the standard deviation of the smoothing
kernel...," which is a very different thing
You should read the documentation more carefully. The bw is not
"essentially the sd". To quote the documentation the bw is "the
smoothing bandwidth to be used. The kernels are scaled such that this is
the standard deviation of the smoothing kernel." That is a very
different thing.
You are confu
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