############################# ### Berkeley admissions data ### Lessons 4 & 5 ### Uses dataset already in R ### See also berkeley1.R in Lesson 4 for a different code ### See also related berkeleyLoglin.R in Lesson 5 ############################# ### Dataset already exist in R library UCBAdmissions ### To test the odds-ratios in the marginal table and each of the subtables library(vcd) ##marginal table Admit x Gender admit.gender=margin.table(UCBAdmissions, c(1,2)) admit.gender admit.gender/4526 exp(oddsratio(admit.gender)) chisq.test(admit.gender) ##Tests for partial tables AdmitxGender for each level of Dept. chisq.test(UCBAdmissions[,,1]) exp(oddsratio(UCBAdmissions[,,1])) chisq.test(UCBAdmissions[,,2]) exp(oddsratio(UCBAdmissions[,,2])) chisq.test(UCBAdmissions[,,3]) exp(oddsratio(UCBAdmissions[,,3])) chisq.test(UCBAdmissions[,,4]) exp(oddsratio(UCBAdmissions[,,4])) chisq.test(UCBAdmissions[,,5]) exp(oddsratio(UCBAdmissions[,,5]) chisq.test(UCBAdmissions[,,6]) exp(oddsratio(UCBAdmissions[,,6])) ### To visualize graphically these association explore fourfold() function in the vcd() package! ### CMH test mantelhaen.test(UCBAdmissions)