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TheForCausality package provides a curated and comprehensive collection of datasets designed forcausal inference research. It brings together data from diverse domains such asclinical trials, cancer studies, epidemiological surveys, environmental exposures, and health-related observational studies.

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

install.packages("ForCausality")

Each dataset inForCausality is labeled with asufix to indicate its structure and type:

• _df: A standar dataframe.

• _tbl_df: A tibble data frame object.

• _list: A list object.

• 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

# Load the packagelibrary(ForCausality)# Load a dataset from the packagedata(Colon_df)# Show the first six rows of the datasethead(Colon_df)# Display the structure of the datasetstr(Colon_df)# Summarize key variablessummary(Colon_df)# Visualize treatment groups and survival statustable(Colon_df$treatment,Colon_df$survival)# Open the dataset in the RStudio viewerView(Colon_df)