Message-ID: <1123517727.42f7851f8ab53@imp2-q.free.fr>
Date: 2005-08-08T16:15:27Z
From: severine.erhel@free.fr
Subject: get the wald chi square in binary logistic regression
hello,
I work since a few time on R and i wanted to know how to obtain the Wald chi
square value when you make a binary logistic regression. In fact, i have the z
value and the signification but is there a script to see what is the value of
Wald chi square. You can see my model below,
Best regards,
S??verine Erhel
[Previously saved workspace restored]
> m3 = glm(reponse2 ~ form + factor(critere2) ,family=binomial,data=mes.donnees)
> summary (m3)
Call:
glm(formula = reponse2 ~ form + factor(critere2), family = binomial,
data = mes.donnees)
Deviance Residuals:
Min 1Q Median 3Q Max
-2.5402 0.2064 0.3354 0.4833 1.4177
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.5482 0.3930 1.395 0.1631
form Illustration 3.2904 0.6478 5.080 3.78e-07 ***
form Texte+illustration 2.6375 0.4746 5.557 2.74e-08 ***
factor(critere2)2 -1.0973 0.5103 -2.150 0.0315 *
factor(critere2)3 -0.9891 0.5107 -1.937 0.0528 .
---
Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 227.76 on 218 degrees of freedom
Residual deviance: 162.11 on 214 degrees of freedom
AIC: 172.11
Number of Fisher Scoring iterations: 5