>>>>> Abby Spurdle
>>>>> on Sun, 2 Aug 2020 15:13:51 +1200 writes:
> That's a bit harsh. Isn't the best advice here, to post a
> reproducible example... Which I believe has been
> mentioned.
> Also, I'd strongly encourage people to use
> package+function name, for this sort of thing.
> stats::glm
> As there are many R functions for GLMs...
Sorry, Abby, I do disagree here ((strongly enough as to warrant
this reply) :
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.
So, no, glm() {and the stats package} are the default and I still
think everybody should know and assume that.
Martin
> On Sun, Aug 2, 2020 at 12:47 PM Rolf Turner
> <r.tur...@auckland.ac.nz> wrote:
>>
>>
>> On 2/08/20 5:39 am, Paul Bernal wrote:
>>
>> > Dear friends,
>> >
>> > Hope you are doing great. I want to fit a logistic
>> regression in R, where > the dependent variable is the
>> covid status (I used 1 for covid positives, > and 0 for
>> covid negatives), but when I ran the glm, R complains
>> that I > should make the dependent variable a factor.
>> >
>> > What would be more advisable, to keep the dependent
>> variable with 1s and > 0s, or code it as yes/no and then
>> make it a factor?
>> >
>> > Any guidance will be greatly appreciated,
>>
>>
>> There have been many responses to this post, the majority
>> of them being confusing and off the point.
>>
>> BOTTOM LINE: R/glm() does *NOT* complain that one "should
>> make the dependent variable a factor". This is bovine
>> faecal output.
>>
>> As Rui Barradas has pointed out (alternatively: RTFM!)
>> when you fit a Bernoulli model using glm(), your
>> response/dependent variable is allowed to be
>>
>> * a numeric variable with values 0 or 1 * a logical
>> variable * a factor with two levels
>>
>> The OP presumably fed glm() a *character* vector with
>> values "0" and "1". Doing *this* will cause glm() to
>> whinge.
>>
>> I reiterate: RTFM!!! (And perhaps learn to distinguish
>> between character vectors and factors.)
>>
>> cheers,
>>
>> Rolf Turner
>>
>> --
>> Honorary Research Fellow Department of Statistics
>> University of Auckland Phone: +64-9-373-7599 ext. 88276
>>
>> ______________________________________________
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>> commented, minimal, self-contained, reproducible code.
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and
> more, see https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html and provide
> commented, minimal, self-contained, reproducible code.
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