David Winsemius wrote:
1. is glm the right thing to use before I waste my time
Yes, but if your outcome variable is binomial then the family argument
should be .... "binomial". (And if you thought it should be poisson,
then why below did you use gaussian???
Used gaussian below because it was the example from the docs. Thats not
my data, its example data which was not binomial.
and 2. how do I interpret the result!
Result? What result? I do see any description of your data, nor any code.
I didn't provide MY DATA because I thought that would complicate things
even further. So I was hoping for some advice on how to interpret the
result of the example data so that I could then apply that to my data.
I haven't even tried to run my data as I couldn't see what the output of
the examples was trying to tell me.
However, as you've snipped it because it was not relevant thats useful
to know. I often find this problem with the examples in the R doc's
they suddenly take a dataset that I have no knowledege of and play with
it and produce an 'answer'. The examples are presumably provided to
enable me to work through how the code works etc. So what I was hoping
for was someone to point to somewhere on-line that documents how to use
the function for logistic regression and to explain what all that table
of data it spits out actually meant. Someone has VERY KINDLY posted me
something off list which I believe helps.
I think you need to consult a statistician or someone who has taken
the time to read that "statistical mumbo jumbo" you don't want to
learn. This mailing list is not set up to be a tutorial site.
I have access to stats advice, but I don't (a) want to turn up to them
with a pile of paper from R and them say glm() may be the wrong
analaysis (b) they don't do R so they can't tell me if I've used R
wrongly and (c) I completely expect they'd say which of the values in
the table matter since no paper I've ever seen published showed a
logistic regression with a table of numbers.
I have a couple of Kleinbaum's (et al) other texts and find them to be
well written and reasoned, so I suspect the citation above would be as
accessible as any.
Thank you, that is useful. There is a real problem when buying R text
books. None of the bookshops round here stock any which means you can't
tell if they are much good. I've looked at some and they seem to be
re-writes of the help files.
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