transform_data_tb_for_cmprsn() 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 data tibble for comparison. Function argument data_tb specifies the object to be updated. Argument model_mdl provides the object to be updated. The function returns Transformed data (a tibble).
Usage
transform_data_tb_for_cmprsn(
data_tb,
model_mdl,
depnt_var_nm_1L_chr = "utl_total_w",
source_data_nm_1L_chr = "Original",
new_data_is_1L_chr = "Predicted",
predn_type_1L_chr = NULL,
family_1L_chr = NA_character_,
impute_1L_lgl = F,
is_brms_mdl_1L_lgl = F,
sd_dbl = NA_real_,
sfx_1L_chr = "",
tfmn_for_bnml_1L_lgl = F,
tfmn_1L_chr = "NTF",
utl_cls_fn = NULL,
utl_min_val_1L_dbl = NA_real_
)Arguments
- data_tb
Data (a tibble)
- model_mdl
Model (a model)
- depnt_var_nm_1L_chr
Dependent variable name (a character vector of length one), Default: 'utl_total_w'
- source_data_nm_1L_chr
Source data name (a character vector of length one), Default: 'Original'
- new_data_is_1L_chr
New data is (a character vector of length one), Default: 'Predicted'
- predn_type_1L_chr
Prediction type (a character vector of length one), Default: NULL
- family_1L_chr
Family (a character vector of length one), Default: 'NA'
- impute_1L_lgl
Impute (a logical vector of length one), Default: F
- is_brms_mdl_1L_lgl
Is bayesian regression models model (a logical vector of length one), Default: F
- sd_dbl
Standard deviation (a double vector), Default: NA
- sfx_1L_chr
Suffix (a character vector of length one), Default: ''
- tfmn_for_bnml_1L_lgl
Transformation for binomial (a logical vector of length one), Default: F
- tfmn_1L_chr
Transformation (a character vector of length one), Default: 'NTF'
- utl_cls_fn
Utility class (a function), Default: NULL
- utl_min_val_1L_dbl
Utility minimum value (a double vector of length one), Default: NA