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I'm running logistic regression in R for the first time. Usually I do this in SPSS but my output in R is different.

In SPSS I'd run it like this:

LOGISTIC REGRESSION VARIABLES benefits
/METHOD=ENTER hhinc_band
/CONTRAST (hhinc_band)=INDICATOR
/PRINT=SUMMARY CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

In R, I'm doing this:

logistic <- glm(benefits ~ hhinc_band, 
data=data2017)

In order to achieve the same output do I need to run anything extra in R?

Grateful for any guidance.

Cheers.

johnny_trfc
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1 Answers1

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I think the default option in glm is gaussian. You can run a logistic model by specifying the family:

 glm(benefits ~ hhinc_band, data=data2017, family = "binomial")

See here for more info https://stats.idre.ucla.edu/r/dae/logit-regression/

desval
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