pubh (version 1.3.2)

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", ...)

Value

A data frame with the confidence intervals by level.

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.

Examples

data(kfm, package = "ISwR")
require(sjlabelled, quietly = TRUE)
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, quietly = TRUE)
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)