请教各位朋友,如何用R进行logistic回归模型的整体检验(要得出P值的),如何求模型R方值。谢谢!summary()中好像看不出。
> summary(temp.mod)
Call:
glm(formula = hl ~ sex + age + edu + city.rural + year, family = "binomial",
data = temp)
Deviance Residuals:
Min 1Q Median 3Q Max
-1.4125 -0.7706 -0.5632 -0.3084 2.5742
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -1.737e+02 1.487e+01 -11.680 < 2e-16 ***
sex 1.271e-01 2.717e-02 4.677 2.91e-06 ***
age 1.624e-04 1.093e-03 0.149 0.882
edu 6.316e-01 1.710e-02 36.942 < 2e-16 ***
city.rural -1.930e-01 3.085e-02 -6.256 3.94e-10 ***
year 8.455e-02 7.391e-03 11.441 < 2e-16 ***
---
Signif. codes:
0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 36454 on 33605 degrees of freedom
Residual deviance: 33600 on 33600 degrees of freedom
(1 observation deleted due to missingness)
AIC: 33612
Number of Fisher Scoring iterations: 4


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