impute: Impute Numeric Column Values

In traumar: Calculate Metrics for Trauma System Performance

Impute Numeric Column Values

Description

Cleans numeric columns by handling extreme values or imputing missing values. The function supports two main focuses: handling skewed distributions or imputing missing data.

Usage

impute(
  x,
  focus = c("skew", "missing"),
  method = c("winsorize", "iqr", "mean", "median"),
  percentile = NULL
)

Arguments

x	A numeric vector to be cleaned.
focus	A character string indicating the focus. Options are: "skew": Handle extreme values using percentile or IQR methods (default). "missing": Impute missing values.
method	A character string specifying the method: For focus = "skew": "winsorize": Replace values outside specified percentiles (default). "iqr": Use IQR to limit extreme values. For focus = "missing": "mean": Replace missing values with the mean. "median": Replace missing values with the median.
percentile	A numeric value (percentile > 0) for winsorization. If not provided, defaults to 0.01 and 0.99.

Value

A numeric vector with cleaned or imputed values.

Examples

x <- c(1, 2, 3, 100, 200, NA)
# Winsorize to 1% and 99%
impute(x, focus = "skew", method = "winsorize")

# Replace missing values with the mean
impute(x, focus = "missing", method = "mean")

traumar documentation built on June 8, 2025, 10:26 a.m.