On 17-Sep-11 01:20:53, Rolf Turner wrote:
> On 17/09/11 01:19, Michael Friendly wrote:
>
>
>> Trying to interpret associations in complex loglinear models
>> from tables of parameter estimates is like trying to extract
>> sunlight from a cucumber. You have to squeeze very hard, and
>> then are
On 17/09/11 01:19, Michael Friendly wrote:
Trying to interpret associations in complex loglinear models from
tables of parameter estimates is like trying to extract sunlight from
a cucumber. You have to squeeze very hard, and then are usually
unhappy with the quality of the sunlight.
For
Hi Yana
Trying to interpret associations in complex loglinear models from tables
of parameter estimates is like trying to extract sunlight from a
cucumber. You have to squeeze very hard, and then are usually unhappy
with the quality of the sunlight.
Instead, you can visualize the association
On Sep 15, 2011, at 4:33 PM, Yana Kane-Esrig wrote:
Dear R gurus,
I am looking for a way to fit a predictive model for a contingency
table which has counts. I found that glm( family=poisson) is very
good for figuring out which of several alternative models I should
select. But once I sel
Dear R gurus,
I am looking for a way to fit a predictive model for a contingency table which
has counts. I found that glm( family=poisson) is very good for figuring out
which of several alternative models I should select. But once I select a model
it is hard to present and interpret it, especia
Hi ,
Ive installed R on Ubuntu and am not trying to install another programe
which runs with it .
The problem whenever i install the programme i get this error :
argument 'lib' is missing: using
'/home/malcolm/R/i486-pc-linux-gnu-library/2.7'
I assume it is a missing library ?
Does anyone know
Jordi Garcia wrote:
Good morning,
I am using R to try to model the proportion of burned area in
Portugal. The dependent variable is the proportion. The family used is
binomial and the epsilon would be binary.
I am not able to find the package to be used when the proportion (%)
has to be use
Good morning,
I am using R to try to model the proportion of burned area in Portugal.
The dependent variable is the proportion. The family used is binomial
and the epsilon would be binary.
I am not able to find the package to be used when the proportion (%) has
to be used in glm. Could someo
Aiste Aistike gmail.com> writes:
>
> Hello R-users,
>
> I do not have much knowledge about generalized linear models therefore my
> question maybe quite stupid.
>
> I have data from 20 towns with their population and number of people with an
> illness from those towns. I would like to use glm
Hello R-users,
I do not have much knowledge about generalized linear models therefore my
question maybe quite stupid.
I have data from 20 towns with their population and number of people with an
illness from those towns. I would like to use glm function in R so I
can calculate proportions of ill
Yip a écrit :
> Hello,
>
> I was trying a glm fitting (as shown below) and I got a warning and a fitted
> residual deviance larger than the null deviance. Is this the expected
> behavor of glm? I would expect that even though the warning might be
> warranted I should not get worse fitting with an
On Tue, 13 Nov 2007, Yip wrote:
> I was trying a glm fitting (as shown below) and I got a warning and a
> fitted residual deviance larger than the null deviance. Is this the
> expected behavor of glm?
It can be. One of two things is going on here:
A) There is complete separation between the c
Hello,
I was trying a glm fitting (as shown below) and I got a warning and a fitted
residual deviance larger than the null deviance. Is this the expected
behavor of glm? I would expect that even though the warning might be
warranted I should not get worse fitting with an additional covariate in t
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