Impute Numeric Column Values

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")
#> [1]   1.04   2.00   3.00 100.00 196.00     NA

# Replace missing values with the mean
impute(x, focus = "missing", method = "mean")
#> [1]   1.0   2.0   3.0 100.0 200.0  61.2