make_dummies function

EQ_dummies

Make a data.frame of all EQ-5D dummies relevant for e.g. regression modeling.

make_dummies(
  df,
  version = "5L",
  dim.names = c("mo", "sc", "ua", "pd", "ad"),
  drop_level_1 = TRUE,
  add_intercept = FALSE,
  incremental = FALSE,
  prepend = NULL,
  append = NULL,
  return_df = TRUE
)

Arguments

• df: data.frame containing EQ-5D health states.
• version: Either "3L" or "5L", to signify EQ-5D instrument version
• dim.names: A vector of dimension names to be used as names for output columns.
• drop_level_1: If set to FALSE, dummies for level 1 will be included. Defaults to TRUE.
• add_intercept: If set to TRUE, a column containing 1s will be appended. Defaults to FALSE.
• incremental: If set to TRUE, incremental dummies will be produced (e.g. MO = 3 will give mo2 = 1, mo3 = 1). Defaults to FALSE.
• prepend: Optional string to be prepended to column names.
• append: Optional string to be appended to column names.
• return_df: If set to TRUE, data.frame is returned, otherwise matrix. Defaults to TRUE.

Returns

A data.frame of dummy variables

Examples

make_dummies(make_all_EQ_states('3L'), '3L')

make_dummies(df = make_all_EQ_states('3L'), 
             version =  '3L', 
             incremental = TRUE, 
             add_intercept = TRUE, 
             prepend = "d_")