pubh (version 1.1.16)

gen_bst_df: Generate a data frame with estimate and bootstrap CIs.

Description

gen_bst_df is a function called that generates a data frame with confidence intervals of a continuous variable by levels of one or two categorical ones (factors).

Usage

gen_bst_df(object = NULL, formula = NULL, data = NULL, stat = "mean", ...)

Arguments

object

When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples.

formula

A formula with shape: y ~ x or y ~ x|z where y is a numerical variable and both x and z are factors.

data

A data frame where the variables in the formula can be found.

stat

Statistic used for bst.

...

Passes optional arguments to bst.

Value

A data frame with the confidence intervals by level.

Examples

# NOT RUN {
data(kfm, package = "ISwR")
require(sjlabelled)
kfm = kfm %>%
  var_labels(
     dl.milk = 'Breast-milk intake (dl/day)',
     sex = 'Sex',
     weight = 'Child weight (kg)',
     ml.suppl = 'Milk substitute (ml/day)',
     mat.weight = 'Maternal weight (kg)',
     mat.height = 'Maternal height (cm)'
     )

kfm %>%
  gen_bst_df(dl.milk ~ sex)

data(birthwt, package = "MASS")
require(dplyr)
birthwt <- mutate(birthwt,
  smoke = factor(smoke, labels = c("Non-smoker", "Smoker")),
  Race = factor(race > 1, labels = c("White", "Non-white")))

birthwt = birthwt %>%
  var_labels(
    bwt = 'Birth weight (g)',
    smoke = 'Smoking status'
  )

gen_bst_df(bwt ~ smoke|Race, data = birthwt)
# }