[R] GLM fitting

[BXC (Bendix Carstensen)]

You have a perfect separtaion of y by x, i.e.

y == (x>30)

is true for all units.

Bendix Carstensen
----------------------
Bendix Carstensen
Senior Statistician
Steno Diabetes Center
Niels Steensens Vej 2
DK-2820 Gentofte
Denmark
tel: +45 44 43 87 38
mob: +45 30 75 87 38
fax: +45 44 43 07 06
bxc at steno.dk
www.biostat.ku.dk/~bxc
----------------------



> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch 
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Vito Ricci
> Sent: Friday, January 28, 2005 11:14 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] GLM fitting
> 
> 
> DeaR R-useRs,
> 
> I'm trying to fit a logist model with these data:
> 
> > dati
>    y  x
> 1  1 37
> 2  1 35
> 3  1 33
> 4  1 40
> 5  1 45
> 6  1 41
> 7  1 42
> 8  0 20
> 9  0 21
> 10 0 25
> 11 0 27
> 12 0 29
> 13 0 18
> 
> I use glm(), having this output:
> 
> > g<-glm(y~x,family=binomial,data=dati)
> Warning messages: 
> 1: Algorithm did not converge in: glm.fit(x = X, y =
> Y, weights = weights, start = start, etastart =
> etastart,  
> 2: fitted probabilities numerically 0 or 1 occurred
> in: glm.fit(x = X, y = Y, weights = weights, start =
> start, etastart = etastart,  
> > g
> 
> Call:  glm(formula = y ~ x, family = binomial, data =
> dati) 
> 
> Coefficients:
> (Intercept)            x  
>     -348.23        11.23  
> 
> Degrees of Freedom: 12 Total (i.e. Null);  11 Residual
> Null Deviance:      17.94 
> Residual Deviance: 7.011e-10    AIC: 4 
> 
> I don't understand the meaning of warning. Can anyone
> help me? Many thanks.
> Cheers,
> Vito
> 
> 
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