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Replace Missing Values Using Various Methods

Source: R/replace_na.R
replace_na.Rd

A wrapper function that replaces missing values using various interpolation or filling methods.

Usage

replace_na(x, method = "linear", value = NULL, min_gap = 1, max_gap = Inf, ...)

Arguments

x

A vector containing numeric data with missing values (NAs)

method

Character string specifying the replacement method:

  • "linear": Linear interpolation (default)

  • "spline": Spline interpolation for smoother curves

  • "stine": Stineman interpolation preserving data shape

  • "locf": Last observation carried forward

  • "value": Replace with a constant value

value

Numeric value for replacement when method = "value"

min_gap

Integer specifying minimum gap size to interpolate/fill. Gaps shorter than this will be left as NA. Default is 1 (handle all gaps).

max_gap

Integer or Inf specifying maximum gap size to interpolate/fill. Gaps longer than this will be left as NA. Default is Inf (no upper limit).

...

Additional parameters passed to the underlying interpolation functions

Value

A numeric vector with NA values replaced according to the specified method where gap length criteria are met.

See also

  • replace_na_linear() for linear interpolation details

  • replace_na_spline() for spline interpolation details

  • replace_na_stine() for Stineman interpolation details

  • replace_na_locf() for last observation carried forward details

  • replace_na_value() for constant value replacement details

Examples

if (FALSE) { # \dontrun{
x <- c(1, NA, NA, 4, 5, NA, NA, NA, 9)

# Different methods
replace_na(x, method = "linear")
replace_na(x, method = "spline")
replace_na(x, method = "stine")
replace_na(x, method = "locf")
replace_na(x, method = "value", value = 0)

# With gap constraints
replace_na(x, method = "linear", min_gap = 2)
replace_na(x, method = "spline", max_gap = 2)
replace_na(x, method = "linear", min_gap = 2, max_gap = 3)
} # }