[R] [FORGED] Dependent Variable in Logistic Regression

Bert Gunter bgunter@4567 @end|ng |rom gm@||@com
Mon Aug 3 23:11:20 CEST 2020


All: Kindly take this offline please.

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Mon, Aug 3, 2020 at 12:39 PM Abby Spurdle <spurdle.a using gmail.com> wrote:

> > Sorry, Abby, I do disagree here ((strongly enough as to warrant
> > this reply) :
>
> Which part are you disagreeing with?
> That unambiquous names/references should be used, or that there are
> many R functions for GLMs.
> The wording of your post, suggests (kind of), that there is only one R
> function for GLMs.
>
> > We're talking about doing "basic" statistics with R,  and these
> > function in the stats package have been part of R even before
> > got a version number.
>
> Remember, not everyone is using the same R packages, as you.
> And some people have done university courses, or done online courses,
> etc, in R, without ever using one function from the stats package.
>
> I'm reluctant to assume that all R users will have a common understanding.
> And what may seem obvious to you or me, may seem quite foreign to some
> users, or vice versa.
>
> > So, no,  glm()  {and the stats package} are the default and I still
> > think everybody should know and assume that.
>
> But perhaps most importantly, the OP said "the glm".
> He never said "glm()", but rather the subsequent posters did.
>
> Rolf suggested his post was bullshit, after removing the lexical peroxide.
> How does anyone know that it wasn't a genuine post, but in reference
> to something other than stats::glm?
>
> Shouldn't people be innocent until proven guilty.
> Otherwise (something I have been guilty of in the past), the mailing
> list turns into statistical propaganda...
>
> Even if the OP was referring to stats::glm, I'm still inclined to feel
> the post was legitimate, just a bit short on technical details...
>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
>

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