Aliases: svyttest confint.svyttest
### ** Examples data(api) dclus2<-svydesign(id=~dnum+snum, fpc=~fpc1+fpc2, data=apiclus2) tt<-svyttest(enroll~comp.imp, dclus2) tt
Design-based t-test data: enroll ~ comp.imp t = -2.8882, df = 36, p-value = 0.006518 alternative hypothesis: true difference in mean is not equal to 0 95 percent confidence interval: -384.24757 -67.22654 sample estimates: difference in mean -225.7371
confint(tt, level=0.9)
[1] -357.68999 -93.78413 attr(,"conf.level") [1] 0.9
svyttest(enroll~I(stype=="E"),dclus2)
Design-based t-test data: enroll ~ I(stype == "E") t = -9.8291, df = 36, p-value = 9.826e-12 alternative hypothesis: true difference in mean is not equal to 0 95 percent confidence interval: -706.306 -464.688 sample estimates: difference in mean -585.497
svyttest(I(api00-api99)~0, dclus2)
Design-based one-sample t-test data: I(api00 - api99) ~ 0 t = 9.0704, df = 38, p-value = 4.782e-11 alternative hypothesis: true mean is not equal to 0 95 percent confidence interval: 20.02455 31.53117 sample estimates: mean 25.77786