you can mostly use data= arguments
on the individual functions.
Bill Venables.
-Original Message-
From: Venables, Bill (CMIS, Dutton Park)
Sent: Wednesday, 18 May 2011 9:07 AM
To: 'Bert Gunter'; 'Peter Ehlers'
Cc: 'R list'
Subject: RE: [R] Post-hoc tests in MASS
03 1.72e-01 1.50e-02 5.60e-06 ...
$ x2 : num 0.268811 0.034224 0.309802 0.060844 0.000315 ...
>
Bill Venables.
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Bert Gunter
Sent: Wednesday, 18 May 2011 12:08 AM
To: Peter Ehle
Folks:
> Only if the user hasn't yet been introduced to the with() function,
> which is linked to on the ?attach page.
>
> Note also this sentence from the ?attach page:
> " attach can lead to confusion."
>
> I can't remember the last time I needed attach().
>
> Peter Ehlers
Yes. But perhaps
On 2011-05-17 02:22, Timothy Bates wrote:
Dear Bryony: the suggestion was not to change the name of the data object, but
to explicitly tell glm.nb what dataset it should look in to find the variables
you mention in the formula.
so the salient difference is:
m1<- glm.nb(Cells ~ Cryogel*Day, da
011 03:21
To: Bryony Tolhurst; r-help@r-project.org
Subject: RE: [R] Post-hoc tests in MASS using glm.nb
?relevel
Also, you might want to fit the models as follows
Model1 <- glm.nb(Cells ~ Cryogel*Day, data = myData)
myData2 <- within(myData, Cryogel <- relevel(Cryogel, ref = "2"
h(data)
>
> But obviously I am still using the attach function, if not with 'data'!!
>
> Thanks again
>
> Bryony Tolhurst
>
> -Original Message-
> From: bill.venab...@csiro.au [mailto:bill.venab...@csiro.au]
> Sent: 17 May 2011 03:21
> To: Bryony Tolhurst
!!
Thanks again
Bryony Tolhurst
-Original Message-
From: bill.venab...@csiro.au [mailto:bill.venab...@csiro.au]
Sent: 17 May 2011 03:21
To: Bryony Tolhurst; r-help@r-project.org
Subject: RE: [R] Post-hoc tests in MASS using glm.nb
?relevel
Also, you might want to fit the models as foll
elp-boun...@r-project.org] On
Behalf Of bryony
Sent: Tuesday, 17 May 2011 3:46 AM
To: r-help@r-project.org
Subject: [R] Post-hoc tests in MASS using glm.nb
I am struggling to generate p values for comparisons of levels (post-hoc
tests) in a glm with a negative binomial distribution
I am try
I am struggling to generate p values for comparisons of levels (post-hoc
tests) in a glm with a negative binomial distribution
I am trying to compare cell counts on different days as grown on different
media (e.g. types of cryogel) so I have 2 explanatory variables (Day and
Cryogel), which are bot
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