transform_ds_to_predn_ds: Transform dataset to prediction dataset

In ready4-dev/specific: Specify Models to Solve Inverse Problems

Transform dataset to prediction dataset

Description

transform_ds_to_predn_ds() is a Transform function that edits an object in such a way that core object attributes - e.g. shape, dimensions, elements, type - are altered. Specifically, this function implements an algorithm to transform dataset to prediction dataset. Function argument data_tb specifies the object to be updated. Argument predr_vars_nms_chr provides the object to be updated. The function returns Data (a tibble).

Usage

transform_ds_to_predn_ds(
  data_tb,
  predr_vars_nms_chr,
  tfmn_1L_chr,
  depnt_var_nm_1L_chr,
  id_var_nm_1L_chr,
  round_var_nm_1L_chr,
  round_bl_val_1L_chr,
  predictors_lup
)

Arguments

data_tb	Data (a tibble)
predr_vars_nms_chr	Predictor variables names (a character vector)
tfmn_1L_chr	Transformation (a character vector of length one)
depnt_var_nm_1L_chr	Dependent variable name (a character vector of length one)
id_var_nm_1L_chr	Identity variable name (a character vector of length one)
round_var_nm_1L_chr	Round variable name (a character vector of length one)
round_bl_val_1L_chr	Round baseline value (a character vector of length one)
predictors_lup	Predictors (a lookup table)

Value

Data (a tibble)

ready4-dev/specific documentation built on Oct. 13, 2023, 7:54 a.m.