Hi
see in line
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Bert
> Gunter
> Sent: Wednesday, February 1, 2017 6:11 AM
> To: CHIRIBOGA Xavier
> Cc: r-help@r-project.org
> Subject: Re: [R] HELP with GLM
>
> Dear Xavier:
Dear Xavier:
It sounds like you have a right mess! Perhaps others cleverer and more
diligent than I can sort through it and diagnose the problem. However,
it really *does* sound like you need to step back, take a deep breath,
and spend some time with an R tutorial or two (there are many good
ones
> On Jan 31, 2017, at 6:35 PM, CHIRIBOGA Xavier
> wrote:
>
> Dear colleagues,
>
>
> I am trying to perform GLM ..but I got some objects masked: and an error
> message below
>
>
> a <- read.table(file.choose(), h<-T)
>> head(a)
> time treatment transinduc
> 11 CHA0+Db 1,0768
Do
Dear colleagues,
I am trying to perform GLM ..but I got some objects masked: and an error
message below
a <- read.table(file.choose(), h<-T)
> head(a)
time treatment transinduc
11 CHA0+Db 1,0768
21 CHA0+Db 1,0706
31 CHA0+Db 1,0752
41 CHA0+Db 1,0689
5
It appears that these are primarily statistical issues and, as such,
are somewhat off topic here. I suggest you post on
stats.stackexchange.com instead for statistical help.
Also, if you insist on posting here, post in plain text, not HTML (as
requested by the posting guide, which you would do wel
Dear all,
I’d like some help with analysing some count data. I am very new to R (and
statistical analysis for that matter!) and have done my best to work it out
on my own … but seemed to have got stuck!
I am looking at the effects of cutting hedges on invertebrates (I’m not
that interested in t
Hi Ken,
Many thanks for your advice.
Earlier this morning I stepped my way through the glm.fit function to see where
things were falling over and realised that first and foremost I had my link
function wrong (link and inverse were back to front). I've now fixed this and
can get the model to
csiro.au> writes:
> I'm trying to fit a binomial GLM with user defined
link
function (negative exponential), however I seem to
> be unable to find the correct starting values to
initialise such a model. I've tried taking starting
> values from a logistic and log models fit to the
same data an
Hi R-list,
I'm trying to fit a binomial GLM with user defined link function (negative
exponential), however I seem to be unable to find the correct starting values
to initialise such a model. I've tried taking starting values from a logistic
and log models fit to the same data and also tried to
(I haven't seen a response to this - might have missed it.)
see inline
Lars Bishop wrote:
Dear experts,
I have a few quick questions related to GLMs:
1) Suppose my response is of the type Yes/No, How can I control which
response I'm modelling?
By selecting the appropriate reference level. As
Dear experts,
I have a few quick questions related to GLMs:
1) Suppose my response is of the type Yes/No, How can I control which
response I'm modelling?
2) How can I perform Type III tests? Is it with -> drop1(mymodel,
test="Chisq") ?
3) I have a numerical variable which I converted to an ord
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