On Feb 25, 2009, at 7:36 PM, ekwaters wrote:
I am getting a repeated error when I try to run a logistic
regression in R
2.8.1
(glm(prop1~x1,data=glm1,family=binomial("logit"),weights=nt1))
Error in model.frame.default(formula = prop1 ~ x1, data = glm1,
weights =
nt1, :
invalid type (list) for variable 'x1'
The interpreter was expecting a vector for x1 and you gave it a list.
x1 is multistate categorical (3 categories). 2 of the categories
have 12
observation, one has 9. Is this what it is objecting to?
Doubtful.
Do I have to have equal numbers of observations of all categories in
R?
No.
nt1 is the total number of events for which p1 is the success
proportion,
each is linked with a category, vis..
list(glm1)
[[1]]
V1 V1 V1
1 1.00000000 cc 10
2 0.73333333 cc 15
3 0.04761905 cc 21
etc....
Does not look like a properly constructed dataframe. Such would not
have had three columns with identical names. What does str(glm1) show?
--
David Winsemius
Probably a newbie error either in data setup, but assistacne would be
appreciated.
Ned
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