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a guest Dec 14th, 2019 75 Never
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  1. nes$income5.n = as.numeric(nes$income5)
  2. nes$dem_age_group_r.n = as.numeric(nes$dem_age_group_r)
  3.  
  4. liberalsftgr.w = svyglm(ftgr_liberals ~ pid_3 + gender + income5.n + dem_age_group_r.n, design = nesD, na.action="na.omit")
  5. nesD= svydesign(id=~1, data=nes, weights=~wt)
  6. summary(lm(nes$ftgr_liberals ~ pid_3 + gender + income5.n + dem_age_group_r.n, data = nes))
  7. summary(liberalsftgr.w)
  8. printC(liberalsftgr.w)
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