[R] question about the anova() function for deviance analysis
jdnewmil at dcn.davis.ca.us
Mon Apr 17 03:48:32 CEST 2017
You are sending your email to a whole mailing list of volunteers, not a specific "maintainer" (and I am not one). However, your assertions convey unfamiliarity with statistics rather than deficiencies in R, and this mailing list is not a stats tutoring list. I did a quick Google search and found , which might help you get started though.
Also, your description should have included a minimal working example, so no it was not complete. It is difficult to discuss technical questions online without having very specific examples of what you did and what you expected (and perhaps why you expected that). Read the Posting Guide for more advice on using the R mailing lists.
Don't forget that there are 10000+ contributed packages for use with R, and among them you may find alternate algorithms that suit your application better. Try the "sos" search package or just use Google to find such options. If course, you have to have some understanding of the theory you are interested in to find them, but it isn't a good idea to treat any software as a black box so that should not really be an impediment if you are doing good quality research.
Sent from my phone. Please excuse my brevity.
On April 16, 2017 6:46:52 AM PDT, Sophie Dubois <sophie.dubois at anastats.fr> wrote:
>> I have recently had a bad experience with the anova() function.
>> Indeed, I wanted to process a deviance analysis between 2 mixed
>> models and I was really surprise to see that depending on the ordre
>> which I gave my models, the function did not the same thing: once it
>> makes the anova of the first model and in the other ordre, it makes a
>> deviance analysis.
>> I make lots of formations to researchers who are not always very
>> comfortable either with R or with some statistical analysis and they
>> were really very disturbed by that.
>> Could this be possible to "secure" this anova function in order that
>> it does the same thing whatever the order in which the models are
>> Hope I was clear enought and many thanks in advance for your regard
>> about my question.
>> Best regards, Sophie
>sophie.dubois at anastats.fr
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