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Results for selected analysis

The R codes for the current analysis

## The uploaded data are read into R using read.table

## data are saved in the data frame userdata



y<-userdata$V1

x1<-userdata$V2

x2<-userdata$V3



log.mod<-glm(y~x1+x2,family=binomial(link='logit'))

summary(log.mod)

The output from the current analysis

> userdata<-read.table('../../files/955360b19a62b7b943b6651067d63598.txt')

> ## The uploaded data are read into R using read.table

> ## data are saved in the data frame userdata

> 

> y<-userdata$V1

> x1<-userdata$V2

> x2<-userdata$V3

> 

> log.mod<-glm(y~x1+x2,family=binomial(link='logit'))

> summary(log.mod)



Call:

glm(formula = y ~ x1 + x2, family = binomial(link = "logit"))



Deviance Residuals: 

    Min       1Q   Median       3Q      Max  

-2.1372  -1.0271   0.5320   0.9453   2.0338  



Coefficients:

            Estimate Std. Error z value Pr(>|z|)    

(Intercept)   0.1694     0.2234   0.759 0.448139    

x1            0.5417     0.2366   2.290 0.022012 *  

x2            0.9111     0.2675   3.406 0.000658 ***

---

Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 



(Dispersion parameter for binomial family taken to be 1)



    Null deviance: 137.99  on 99  degrees of freedom

Residual deviance: 117.17  on 97  degrees of freedom

AIC: 123.17



Number of Fisher Scoring iterations: 3



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