data-raw/s4_fns/ratify.R

ratify_SpecificModels <- function(x,
                                  class_fn_1L_chr = "as.numeric",
                                  prototype_lup = NULL,
                                  scndry_anlys_params_ls = NULL,
                                  ...){
  series_1L_lgl <- x@a_YouthvarsProfile %>% inherits("YouthvarsSeries")
  if(series_1L_lgl){
    x@a_YouthvarsProfile@a_Ready4useDyad@ds_tb <- x@a_YouthvarsProfile@a_Ready4useDyad@ds_tb %>%
      youthvars::add_interval_var(id_var_nm_1L_chr = x@a_YouthvarsProfile@id_var_nm_1L_chr,
                                  msrmnt_date_var_nm_1L_chr = ifelse(!is.na(x@b_SpecificParameters@msrmnt_date_var_nm_1L_chr),
                                                                     x@b_SpecificParameters@msrmnt_date_var_nm_1L_chr,
                                                                     "d_interview_date")) %>%
      youthvars::add_participation_var(id_var_nm_1L_chr = x@a_YouthvarsProfile@id_var_nm_1L_chr,
                                       fup_round_nbr_1L_int = length( x@a_YouthvarsProfile@timepoint_vals_chr))
    if(is.na(x@a_YouthvarsProfile@participation_var_1L_chr)){
      x@a_YouthvarsProfile@participation_var_1L_chr <- "participation"
    }
    x@a_YouthvarsProfile@a_Ready4useDyad@dictionary_r3 <- x@a_YouthvarsProfile@a_Ready4useDyad@dictionary_r3 %>%
      ready4::renew(var_nm_chr = c("bl_date_dtm",
                                   "interval_dbl",
                                   x@a_YouthvarsProfile@participation_var_1L_chr),
                    var_ctg_chr = c("Temporal",
                                    "Temporal",
                                    "Temporal"),
                    var_desc_chr = c("Date of baseline assessment",
                                     "Interval between baseline and follow-up assessments",
                                     "Rounds participated in"),
                    var_type_chr = c("date",
                                     "interval",
                                     "character"))
  }

  x <- renewSlot(x, "a_YouthvarsProfile@a_Ready4useDyad", type_1L_chr = "label") # x@a_YouthvarsProfile@a_Ready4useDyad <- renew_Ready4useDyad(x@a_YouthvarsProfile@a_Ready4useDyad, type_1L_chr = "label") #
  x@a_YouthvarsProfile@a_Ready4useDyad@ds_tb <- x@a_YouthvarsProfile@a_Ready4useDyad@ds_tb %>%
    transform_mdl_vars_with_clss(predictors_lup = x@b_SpecificParameters@predictors_lup,
                                 depnt_var_nm_1L_chr = x@b_SpecificParameters@depnt_var_nm_1L_chr,
                                 prototype_lup = prototype_lup,
                                 class_fn_1L_chr = class_fn_1L_chr)
  input_params_ls <- manufacture(x, scndry_anlys_params_ls = scndry_anlys_params_ls, what_1L_chr = "input_params_ls")
  x <- renewSlot(x,
                 "a_YouthvarsProfile@a_Ready4useDyad@ds_tb",
                 input_params_ls$params_ls$ds_tb) %>%
    renewSlot("a_YouthvarsProfile@a_Ready4useDyad@dictionary_r3",
              input_params_ls$params_ls$ds_descvs_ls$dictionary_tb) %>%
    renewSlot("b_SpecificParameters@candidate_covars_chr",
              input_params_ls$params_ls$candidate_covar_nms_chr) %>%
    renewSlot("b_SpecificParameters@descv_var_nms_chr",
              input_params_ls$params_ls$ds_descvs_ls$cohort_descv_var_nms_chr) %>%
    renewSlot("b_SpecificParameters@candidate_predrs_chr",
              input_params_ls$params_ls$ds_descvs_ls$candidate_predrs_chr) %>%
    renewSlot("b_SpecificParameters@predictors_lup",
              input_params_ls$params_ls$predictors_lup) %>%
    renewSlot("b_SpecificParameters@depnt_var_nm_1L_chr",
              input_params_ls$params_ls$ds_descvs_ls$utl_wtd_var_nm_1L_chr) %>%
    renewSlot("c_SpecificResults@a_SpecificShareable@shareable_outp_ls",
              list(rename_lup = input_params_ls$rename_lup))
  return(x)
}
ready4-dev/specific documentation built on Oct. 13, 2023, 7:54 a.m.