cleanData: Cleans and prepares data for analysis

In imt: Impact Measurement Toolkit

Cleans and prepares data for analysis

Description

This function performs a series of data cleaning and preprocessing steps to ensure the data is suitable for analysis. This includes:

• Missing data handling

• Variable type checks

• Collinearity and zero-variance feature removal

Usage

cleanData(data, y, treatment, x = NULL, binary = FALSE)

Arguments

data	A data.frame containing the data to be cleaned.
y	Name of the dependent variable (character).
treatment	Name of the treatment variable (character, should be logical).
x	Names of the covariates to include in the model (character vector, optional).
binary	Should the dependent variable be treated as binary? Default is FALSE

Value

A list containing the cleaned dataset and relevant metadata:

• N: The number of observations after cleaning.

• K The number of covariates after cleaning.

• X The cleaned covariate matrix.

• treat_vec: Treatment vector as integers (1 for TRUE, 0 for FALSE).

• Y: The dependent variable vector.

imt documentation built on Sept. 11, 2024, 5:41 p.m.