make_ds_descvs_ls: Make dataset descriptives list
In ready4-dev/specific: Specify Models to Solve Inverse Problems

make_ds_descvs_ls

R Documentation

Make dataset descriptives list

Description

make_ds_descvs_ls() is a Make function that creates a new R object. Specifically, this function implements an algorithm to make dataset descriptives list. The function returns Dataset descriptives (a list).

Usage

make_ds_descvs_ls(
  candidate_predrs_chr,
  cohort_descv_var_nms_chr,
  dictionary_tb,
  id_var_nm_1L_chr,
  msrmnt_date_var_nm_1L_chr,
  round_var_nm_1L_chr,
  round_vals_chr,
  maui_item_pfx_1L_chr,
  utl_wtd_var_nm_1L_chr = "wtd_utl_dbl",
  utl_unwtd_var_nm_1L_chr = "unwtd_utl_dbl",
  candidate_covar_nms_chr = NULL,
  is_fake_1L_lgl = NULL
)

Arguments

`candidate_predrs_chr`	Candidate predictors (a character vector)
`cohort_descv_var_nms_chr`	Cohort descriptive variable names (a character vector)
`dictionary_tb`	Dictionary (a tibble)
`id_var_nm_1L_chr`	Identity variable name (a character vector of length one)
`msrmnt_date_var_nm_1L_chr`	Measurement date variable name (a character vector of length one)
`round_var_nm_1L_chr`	Round variable name (a character vector of length one)
`round_vals_chr`	Round values (a character vector)
`maui_item_pfx_1L_chr`	Multi-attribute utility instrument item prefix (a character vector of length one)
`utl_wtd_var_nm_1L_chr`	Utility weighted variable name (a character vector of length one), Default: 'wtd_utl_dbl'
`utl_unwtd_var_nm_1L_chr`	Utility unweighted variable name (a character vector of length one), Default: 'unwtd_utl_dbl'
`candidate_covar_nms_chr`	Candidate covariate names (a character vector), Default: NULL
`is_fake_1L_lgl`	Is fake (a logical vector of length one), Default: NULL