[R] binomial logistic regression question

majesty
Tue, 27 Sep 2011 11:53:28 -0000

Dear subscribers,

I am looking for a function which would allow me to model the dependent
variable as the number of successes in a series of Bernoulli trials. My data
looks like this

ID  TRIALS     SUCCESSESS   INDEP1 INDEP2 INDEP3
1      4444        0                0.273     0.055  0.156
2      98170      74               0.123     0.456  0.789
3      145486    30               0.124     0.235  0.007
4      147149    49               0.888     0.357  0.321
5      60585      11               0.484     0.235  0.235
6      198953    43               0.295     0.123  0.856

I want to find out how independent variables influence the number of
successful trials (dependent variable)
I had tried to use glm formula

regression.glm <- glm( SUCCESSESS ~ INDEP1 + INDEP2 + INDEP3, data = data,
family = binomial, weights= TRIALS)

but got the following: Error in eval(expr, envir, enclos) : y values must be
0 <= y <= 1
but there y has to be between 0 and 1 (which does make sense, but that's why
I am using weights?)

I would be grateful for any hints/suggestions on how to proceed.
Cheers,
Juta


--
View this message in context:
http://r.789695.n4.nabble.com/binomial-logistic-regression-question-tp3846954p3846954.html
Sent from the R help mailing list archive at Nabble.com.