[R] get the wald chi square in binary logistic regression

[severine.erhel@free.fr]

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éverine 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