[R] Seeking help with LOGIT model

[ken knoblauch]

Christofer Bogaso <bogaso.christofer <at> gmail.com> writes:
> Dear all, I am fitting a LOGIT model on this Data...........
---- << snip >>---
> glm(Data[,1] ~ Data[,-1], binomial(link = logit))
> 
> Call:  glm(formula = Data[, 1] ~ Data[, -1], family = binomial(link = logit))
> 
> Coefficients:
>   (Intercept)  Data[, -1]X 1  Data[, -1]X 2  Data[, -1]X 3  Data[,
> -1]X 4  Data[, -1]X 5
>      10.99326        0.01943       10.61013       -0.66763
> 70.98785       17.33126
> 
> Degrees of Freedom: 43 Total (i.e. Null);  38 Residual
> Null Deviance:      44.58
> Residual Deviance: 17.46        AIC: 29.46
> Warning message:
> glm.fit: fitted probabilities numerically 0 or 1 occurred
> 
> However I am getting a warning mesage as "fitted probabilities
> numerically 0 or 1 occurred". Here my question is, 
have I made any
> mistakes with my above implementation? I
s it just because, I have too
> less number of '0' in my response Variable?
> 
Look at the output of summary, especially the standard errors.  
You seem to be getting complete
separation on X5 and X4 doesn,'t look so hot either.

Ken