Identify Extreme Outliers in EMBRACE-II Data — emii_find

This function analyzes all numeric columns in the dataset and identifies extreme outliers using the interquartile range (IQR) method. An extreme outlier is defined as a value that is more than 3 times the IQR below Q1 or above Q3.

Usage

emii_find_outliers(
  data,
  iqr_multiplier = 3,
  save_excel = FALSE,
  excel_path = NULL
)

Arguments

data: A tibble containing EMBRACE-II data
iqr_multiplier: Numeric; multiplier for IQR to define outlier threshold (default: 3)
save_excel: Logical; if TRUE, saves the outliers as an Excel file
excel_path: Character; path where to save the Excel file (default: NULL)

Value

A tibble containing outlier information (embrace_id, variable, value, threshold, median)

Examples

if (FALSE) { # \dontrun{
  clean_data <- emii_get_clean_data()
  outliers <- emii_find_outliers(clean_data)
  outliers <- emii_find_outliers(clean_data, save_excel = TRUE)
} # }