[R] Best method

[ONKELINX, Thierry]

Dear Vladimir,

You can use a logistic regression. First define Y0 as 30 - Y. Then Y is
the number of days with headache and Y0 the number of days without.
Then the model looks like: glm(cbind(Y, Y0) ~ X1 + X2 + X3, family =
"binomial")

HTH,

Thierry 


------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek
team Biometrie & Kwaliteitszorg
Gaverstraat 4
9500 Geraardsbergen
Belgium

Research Institute for Nature and Forest
team Biometrics & Quality Assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium

tel. + 32 54/436 185
Thierry.Onkelinx op inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-help-bounces op r-project.org [mailto:r-help-bounces op r-project.org]
Namens Vladimir Pekar
Verzonden: vrijdag 15 januari 2010 11:26
Aan: r-help op r-project.org
Onderwerp: [R] Best method


Hi,

I would like to ask for advice about best statistics method for my
problem.
I was done questionnaire about headache.
My data are:
Y - frequency of symptoms occur - times per month in range <0..30>
(where 30 is daily and zero for never) and independent variables:
X1 - sex - category {M,F}
X2 - age - linear value
X3 - type of work {administrative, manual, ...} ...

Which model is "the best" for my problem: to describe weight of factors
in equation "chance_to_present_symptom ~ variables":
Y~X1+X2+X3

Y is not linear value with normal distribution.
Y describe something like chance of to have symptom.
I can't use linear regression, but something like logistic regression. 
Logistic is only for two (or more) Y value which is categorised not
linear.

Thank for any advice.

-vladimir-

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