Hi,

I use SPSS at work and have R installed both at work and on my home machine.
I've been trying to do some logistic regressions in R and SPSS, but the
results I'm getting are different. I've followed a few R tutorials, and with
most of them, I get the following instructions:

result <- glm(z ~ x + y, family=binomial(logit))

In the case above, with three variables (z being dependent).

In SPSS, I'm told to use Analyze -> Regression -> Binary Logistic, where I
put x, y in "Covariates" and z in "Dependent". Note that my values for x and
y are either 1 or 0.

The results I get from these two tests are different, however, and I was
wondering why. Am I choosing the wrong commands? If not, why are the results
different? Any help would be greatly appreciated, and please note that I
have a limited amount of stats knowledge.

Thanks,
Wojciech

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