transform_ds_for_mdlng: Transform dataset for modelling

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

Transform dataset for modelling

Description

transform_ds_for_mdlng() 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 for modelling. Function argument data_tb specifies the object to be updated. Argument depnt_var_nm_1L_chr provides the object to be updated. The function returns Transformed data (a tibble).

Usage

transform_ds_for_mdlng(
  data_tb,
  depnt_var_nm_1L_chr = "utl_total_w",
  depnt_var_min_val_1L_dbl = numeric(0),
  predr_var_nm_1L_chr,
  covar_var_nms_chr = NA_character_
)

Arguments

data_tb	Data (a tibble)
depnt_var_nm_1L_chr	Dependent variable name (a character vector of length one), Default: 'utl_total_w'
depnt_var_min_val_1L_dbl	Dependent variable minimum value (a double vector of length one), Default: numeric(0)
predr_var_nm_1L_chr	Predictor variable name (a character vector of length one)
covar_var_nms_chr	Covariate variable names (a character vector), Default: 'NA'

Value

Transformed data (a tibble)

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