://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
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>
> -Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> On Behalf Of [EMAIL PROTECTED]
> Sent: Tuesday, 29 July 2008 2:15 PM
> To: r-help@r-project.org
> Subject
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
2:15 PM
To: r-help@r-project.org
Subject: [R] Help interpreting density().
I issue the following:
> d <- density(rnorm(1000))
> d
and get:
Call:
density.default(x = rnorm(1000))
Data: rnorm(1000) (1000 obs.); Bandwidth 'bw' = 0.2235
x y
I issue the following:
> d <- density(rnorm(1000))
> d
and get:
Call:
density.default(x = rnorm(1000))
Data: rnorm(1000) (1000 obs.); Bandwidth 'bw' = 0.2235
x y
Min. :-3.5157 Min. :2.416e-05
1st Qu.:-1.6892 1st Qu.:1.129e-02
Median :
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