[R] extracting 'Z' value from a glm result
Taka Matzmoto
sell_mirage_ne at hotmail.com
Sun Jan 29 06:54:28 CET 2006
Hello R users
I like to extract z values for x1 and x2. I know how to extract coefficents
using model$coef
but I don't know how to extract z values for each of independent variable. I
looked around
using names(model) but I couldn't find how to extract z values.
Any help would be appreciated.
Thanks
TM
#########################################################
>summary(model)
Call:
glm(formula = y ~ x1+ x2, family = binomial)
Deviance Residuals:
Min 1Q Median 3Q Max
-2.1397 -1.2357 0.6875 0.8517 1.5743
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -0.63930 1.13045 -0.566 0.572
x1 0.69956 0.09459 7.396 1.40e-13 ***
x2 1.51389 1.13212 1.337 0.181
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 1214.9 on 999 degrees of freedom
Residual deviance: 1149.8 on 997 degrees of freedom
AIC: 1155.8
Number of Fisher Scoring iterations: 4
############################################################
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