Auto-formatting of a data frame with layout option for typical levels and labels

Usage

formatR(
  data,
  cat.vars = c(case, sex, cci, region, education, income, marital),
  num.vars = c(period, age_group),
  cut_vars = c(age, index),
  labels = list(),
  seqlist = list(),
  names = list(),
  layout = NULL
)

Arguments

data: dataframe. Works with piping
cat.vars: Vector of categorical covariates which should be formatted to factors
num.vars: vector of pseudonumerical variables that should be ordered (e.g. 1990-2000, 2000-2010).
cut_vars: vector of numerical covariates that should be cut
labels: list of labels (e.g. list("var" = c("a" = "apple", "b" = "banana")))
seqlist: list of sequences for cutting (e.g. list("age" = seq(0,100,10)))
names: names for the cut variable (e.g. list("age" = "age_group")
layout: layout preset for common procedures. "Matching" for typical matching studies

Value

Returns the same dataframe with print-friendly labels for the typical full matching setup.