View source: R/ard_categorical_ci.R
| ard_categorical_ci | R Documentation | 
Calculate confidence intervals for proportions.
ard_categorical_ci(data, ...)
## S3 method for class 'data.frame'
ard_categorical_ci(
  data,
  variables,
  by = dplyr::group_vars(data),
  method = c("waldcc", "wald", "clopper-pearson", "wilson", "wilsoncc", "strat_wilson",
    "strat_wilsoncc", "agresti-coull", "jeffreys"),
  denominator = c("column", "row", "cell"),
  conf.level = 0.95,
  value = list(where(is_binary) ~ 1L, where(is.logical) ~ TRUE),
  strata = NULL,
  weights = NULL,
  max.iterations = 10,
  ...
)
data | 
 (  | 
... | 
 Arguments passed to methods.  | 
variables | 
 (  | 
by | 
 (  | 
method | 
 (  | 
denominator | 
 (  | 
conf.level | 
 (scalar   | 
value | 
 (  | 
strata, weights, max.iterations | 
 arguments passed to   | 
an ARD data frame
# compute CI for binary variables
ard_categorical_ci(mtcars, variables = c(vs, am), method = "wilson")
# compute CIs for each level of a categorical variable
ard_categorical_ci(mtcars, variables = cyl, method = "jeffreys")
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