make_balanced_fake_ds: Make balanced fake dataset

In ready4-dev/map2aqol: Transform Youth Outcomes to Health Utility Predictions

Make balanced fake dataset

Description

make_balanced_fake_ds() is a Make function that creates a new R object. Specifically, this function implements an algorithm to make balanced fake dataset. The function returns Dataset (a tibble).

Usage

make_balanced_fake_ds(
  ds_tb,
  match_on_vars_chr,
  id_var_nm_1L_chr = "UID_chr",
  round_var_nm_1L_chr = "Timepoint_chr",
  timepoint_bl_val_1L_chr = "Baseline",
  cmprsn_var_nm_1L_chr = "study_arm_chr",
  cmprsn_groups_chr = c("Intervention", "Control")
)

Arguments

ds_tb	Dataset (a tibble)
match_on_vars_chr	Match on variables (a character vector)
id_var_nm_1L_chr	Identity variable name (a character vector of length one), Default: 'UID_chr'
round_var_nm_1L_chr	Round variable name (a character vector of length one), Default: 'Timepoint_chr'
timepoint_bl_val_1L_chr	Timepoint baseline value (a character vector of length one), Default: 'Baseline'
cmprsn_var_nm_1L_chr	Comparison variable name (a character vector of length one), Default: 'study_arm_chr'
cmprsn_groups_chr	Comparison groups (a character vector), Default: c("Intervention", "Control")

Value

Dataset (a tibble)

ready4-dev/map2aqol documentation built on April 25, 2024, 12:17 p.m.