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
______________________________________________
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.
