add_diffs_by_group_and_tmpt: Add differences by group and time point

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

Add differences by group and time point

Description

add_diffs_by_group_and_tmpt() is an Add function that updates an object by adding new values to new or empty fields. Specifically, this function implements an algorithm to add differences by group and time point. The function returns Updated dataset (a tibble).

Usage

add_diffs_by_group_and_tmpt(
  ds_tb = trial_ds_tb,
  cmprsn_var_nm_1L_chr = "study_arm_chr",
  cmprsn_group_match_val_chr = c("Intervention"),
  round_var_nm_1L_chr = "round",
  timepoint_match_val_1L_chr = "Follow-up",
  match_idx_var_nm_1L_chr = "match_idx_int",
  var_nms_chr,
  fns_ls,
  abs_mean_diff_dbl,
  diff_sd_dbl,
  multiplier_dbl,
  min_dbl,
  max_dbl,
  integer_lgl
)

Arguments

ds_tb	Dataset (a tibble), Default: trial_ds_tb
cmprsn_var_nm_1L_chr	Comparison variable name (a character vector of length one), Default: 'study_arm_chr'
cmprsn_group_match_val_chr	Comparison group match value (a character vector), Default: c("Intervention")
round_var_nm_1L_chr	Round variable name (a character vector of length one), Default: 'round'
timepoint_match_val_1L_chr	Timepoint match value (a character vector of length one), Default: 'Follow-up'
match_idx_var_nm_1L_chr	Match index variable name (a character vector of length one), Default: 'match_idx_int'
var_nms_chr	Variable names (a character vector)
fns_ls	Functions (a list)
abs_mean_diff_dbl	Absolute mean difference (a double vector)
diff_sd_dbl	Difference standard deviation (a double vector)
multiplier_dbl	Multiplier (a double vector)
min_dbl	Minimum (a double vector)
max_dbl	Maximum (a double vector)
integer_lgl	Integer (a logical vector)

Value

Updated dataset (a tibble)

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