ard_categorical_ci.survey.design.md
In cardx: Extra Analysis Results Data Utilities

ard_categorical_ci(data)

Code
  dplyr::select(as.data.frame(ard_categorical_ci(dclus1, variables = c(both,
    awards))), -warning, -error, -fmt_fn, -context)
Output
     variable variable_level  stat_name stat_label      stat
  1      both             No   estimate   estimate  0.273224
  2      both             No   conf.low   conf.low 0.2131745
  3      both             No  conf.high  conf.high  0.342819
  4      both             No     method     method     logit
  5      both             No conf.level conf.level      0.95
  6      both            Yes   estimate   estimate  0.726776
  7      both            Yes   conf.low   conf.low  0.657181
  8      both            Yes  conf.high  conf.high 0.7868255
  9      both            Yes     method     method     logit
  10     both            Yes conf.level conf.level      0.95
  11   awards             No   estimate   estimate 0.2896175
  12   awards             No   conf.low   conf.low 0.2241835
  13   awards             No  conf.high  conf.high 0.3651608
  14   awards             No     method     method     logit
  15   awards             No conf.level conf.level      0.95
  16   awards            Yes   estimate   estimate 0.7103825
  17   awards            Yes   conf.low   conf.low 0.6348392
  18   awards            Yes  conf.high  conf.high 0.7758165
  19   awards            Yes     method     method     logit
  20   awards            Yes conf.level conf.level      0.95