A Curated Collection of 'Causal Inference' Datasets and Tools.

ForCausality

The ForCausality package provides a curated and comprehensive collection of datasets designed for causal inference research. It brings together data from diverse domains such as clinical trials, cancer studies, epidemiological surveys, environmental exposures, and health-related observational studies.

Installation

You can install the ForCausality package from CRAN with the following R function:

install.packages("ForCausality")

Dataset Suffixes

Each dataset in ForCausality is labeled with a sufix to indicate its structure and type:

• _df: A standar dataframe.

• _tbl_df: A tibble data frame object.

• _list: A list object.

Datasets included in ForCausality

• Colon_df: Chemotherapy for Stage B/C colon cancer

• Stroke_df: Fictional ischemic stroke data case control data with risk factors, exposures and confounders

• Pph_df: An external control trial of treatments for post-partum hemorrhage

Example Code:

# Load the package
library(ForCausality)

# Load a dataset from the package
data(Colon_df)

# Show the first six rows of the dataset
head(Colon_df)

# Display the structure of the dataset
str(Colon_df)

# Summarize key variables
summary(Colon_df)

# Visualize treatment groups and survival status
table(Colon_df$treatment, Colon_df$survival)

# Open the dataset in the RStudio viewer
View(Colon_df)