Typo: "**Paul_i** Exclusion Principle"
Bert Gunter
Genentech Nonclinical Biostatistics
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oun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Tom La Bone
Sent: Monday, March 29, 2010 9:56 AM
To: r-help@r-project.org
Subject: Re: [R] Ellipse that Contains 95% of the Observed Data
I know what "get a bigger sample means". I have no clue what "ask a
I know what "get a bigger sample means". I have no clue what "ask a more
statistically meaningful question" means. Can you elaborate a bit?
Tom
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Easy. See below.
Bert Gunter
Genentech Nonclinical Biostatistics
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Tom La Bone
Sent: Monday, March 29, 2010 6:56 AM
To: r-help@r-project.org
Subject: Re: [R] Ellipse that Contains 95
for a picture of the bagplot, try going to
http://www.statmethods.net/graphs/boxplot.html
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Concisely, here is what I am trying to do:
#I take a random sample of 300 measurements. After I have the measurements
#I post stratify them to 80 type A measurements and 220 type B measurements.
#These measurements tend to be lognormally distributed so I fit them to
#determine the geometric me
The bagplot at
http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=112
gives a nonparametric 2-d view analagous to a boxplot.
S Ellison
>
> I can take the results of a simulation with one random variable and
generate
> an empirical interval that contains 95% of the observations, e.g.
On 03/29/2010 07:17 PM, Barry Rowlingson wrote:
...
I think the problem as posed doesn't produce a unique ellipse. You
could start with a circle of radius 0 centered on mean(x),mean(y) and
then increase the radius until it has 95% of the points in it. As long
as your points are in continuous sp
On Mon, Mar 29, 2010 at 4:02 AM, Ben Bolker wrote:
> I'll be interested to hear what others come up with.
> I'm not sure the problem as you have stated it is well-posed, or
> necessarily possible. Suppose there is a true unknown
> bivariate probability distribution with a non-elliptical 95%
> q
Tom La Bone gforcecable.com> writes:
>
>
> I can take the results of a simulation with one random variable and generate
> an empirical interval that contains 95% of the observations, e.g.,
>
> x <- rnorm(1)
> quantile(x,probs=c(0.025,0.975))
>
> Is there an R function that can take the re
I can take the results of a simulation with one random variable and generate
an empirical interval that contains 95% of the observations, e.g.,
x <- rnorm(1)
quantile(x,probs=c(0.025,0.975))
Is there an R function that can take the results from two random variables
and generate an empirical
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