fill_by_prevalent: Fill missing values by the most prevalent nonmissing value

In padr: Quickly Get Datetime Data Ready for Analysis

Fill missing values by the most prevalent nonmissing value

Description

For each specified column in x replace the missing values by the most prevalent nonmissing value.

Usage

fill_by_prevalent(x, ...)

Arguments

x	A data frame.
...	The unquoted column names of the variables that should be filled.

Value

x with the altered columns.

Examples

x <- seq(as.Date("2016-01-01"), by = "day", length.out = 366)
x <- x[sample(1:366, 200)] |> sort()
x_df <- data.frame(
  x = x,
  y1 = rep(letters[1:3], c(80, 70, 50)) |> sample(),
  y2 = rep(letters[2:5], c(60, 80, 40, 20)) |> sample()
)
x_df |>
  pad() |>
  fill_by_prevalent(y1, y2)

padr documentation built on July 16, 2026, 5:09 p.m.