Sorry if this is a novice question, but I don't understand it. I am fitting a sigmoid curve to my data with glm(). This works, I can plot the output and I see a nice sigmoid curve.

However, how do I get R to return the final values it has fit? As I understand it, R fits the data to logit(y) = b0 + b1x, but when I do > summary(glm.out) I only get

Call:
glm(formula = e$V2 ~ e$V1, family = binomial(logit), data = e)

Deviance Residuals: 
       1         2         3         4         5         6         7  
-0.00001  -0.06612  -0.15118  -0.34237   0.20874   0.08724  -0.19557  

Coefficients:
            Estimate Std. Error z value Pr(>|z|)
(Intercept)  -24.784     20.509  -1.208    0.227
e$V1           2.073      1.725   1.202    0.229

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 4.60338  on 6  degrees of freedom
Residual deviance: 0.23388  on 5  degrees of freedom
AIC: 5.8525

Number of Fisher Scoring iterations: 8

How do I get b0 and b1?