Add as many binaries than input columns, taking the value 1 if value in each column is inside a set a values

Useful to create a set of dummy variables from a set of categorical variables if they are in a defined set of choices For HESPER package, can be used to create binaries for all HESPER items select one columns, to either record if it's a serious problem, undefined, serious problem with subset Additionnal argument can be used to add a suffix to the column names of the binary created

Usage

add_binaries_from_set(
  df,
  vars,
  vals_0,
  vals_1,
  vals_na = NULL,
  default_val = NULL,
  suffix = NULL,
  sep = "."
)

Arguments

df: A df.table or df.frame: The df to be processed.
suffix: A character vector: The suffix to be added to the added binary vars. If NULL, vars are replaced by binary vars.
sep: A character vector: separator used to add name suffix to original column names
cols_character: A character vector: The name of the columns that will be used to create binary columns.
value_1: A character vector: Set of values for which binary columns will be populated with 1 if cols_character is inside this set.
value_0: A character vector: Set of values for which binary columns will be populated with 0 if cols_character is inside this set.
value_na: A character vector: Set of values for which binary columns will be populated with NA if cols_character is inside this set.
value_default: A character vector: Set of values for which binary columns will be populated with otherwise. Will be overriden with 0 if value_0 = NULL and with NA if value_na = NULL

Value

A df.table or df.frame with the binary columns added.