double_ml_data_from_data_frame: Wrapper for Double machine learning data-backend...

In DoubleML: Double Machine Learning in R

Wrapper for Double machine learning data-backend initialization from data.frame.

Description

Initalization of DoubleMLData from data.frame.

Usage

double_ml_data_from_data_frame(
  df,
  x_cols = NULL,
  y_col = NULL,
  d_cols = NULL,
  z_cols = NULL,
  cluster_cols = NULL,
  use_other_treat_as_covariate = TRUE
)

Arguments

df	(data.frame()) Data object.
x_cols	(NULL, character()) The covariates. If NULL, all variables (columns of data) which are neither specified as outcome variable y_col, nor as treatment variables d_cols, nor as instrumental variables z_cols are used as covariates. Default is NULL.
y_col	(character(1)) The outcome variable.
d_cols	(character()) The treatment variable(s).
z_cols	(NULL, character()) The instrumental variables. Default is NULL.
cluster_cols	(NULL, character()) The cluster variables. Default is NULL.
use_other_treat_as_covariate	(logical(1)) Indicates whether in the multiple-treatment case the other treatment variables should be added as covariates. Default is TRUE.

Value

Creates a new instance of class DoubleMLData.

Examples

df = make_plr_CCDDHNR2018(return_type = "data.frame")
x_names = names(df)[grepl("X", names(df))]
obj_dml_data = double_ml_data_from_data_frame(
  df = df, x_cols = x_names,
  y_col = "y", d_cols = "d")
# Input: Data frame, Output: DoubleMLData object

DoubleML documentation built on June 22, 2024, 10:50 a.m.