Nothing
context("Using logistic regression")
x1<-rnorm(1000)
x2<-rnorm(1000)
x3<-rnorm(1000)
y1<-0.5*x1+2*x2-x3
y.binom<-rbinom(1000,1,exp(y1)/(1+exp(y1)))
d.f1<<-data.frame(xa=x1,xb=x2,xc=x3,y=y.binom)
glm.1<-glm(y~xa+xb+xc,data=d.f1,family=binomial)
daRW<-daRawResults(glm.1)
test_that("Correct raw results using glm(family=binomial)", {
base.fits<-daRW$base.fits
# x2>x3>x1
c.types=c("r2.m","r2.cs","r2.n","r2.e")
for(coef.type in c.types) {
expect_gt(base.fits["xb",coef.type], base.fits["xc",coef.type] )
expect_gt(base.fits["xc",coef.type], base.fits["xa",coef.type] )
expect_gt(base.fits["xb+xc",coef.type], base.fits["xa+xb",coef.type] )
}
})
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