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ForCausality (version 0.1.0)

Lead_df: Lead Exposure Data

Description

This dataset, Lead_df, is a data frame comparing control and exposed groups under different hygiene and exposure levels. The dataset consists of 33 observations and 6 variables, including measures of exposure, hygiene, and calculated differences between groups. Some observations may contain missing values.

Usage

data(Lead_df)

Arguments

Format

A data frame with 33 observations and 6 variables:

control

Control group count (integer)

exposed

Exposed group count (integer)

level

Exposure level (factor with 3 levels: "high", "low", "medium")

hyg

Hygiene level (factor with 3 levels: "good", "mod", "poor")

both

Combined exposure and hygiene category (factor with 4 levels, e.g. "high.ok", "high.poor", ...)

dif

Difference between control and exposed (integer)

Details

The dataset name has been kept as 'Lead_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ForCausality package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.