fill_na: Fill NAs

In Harrison4192/dataCleaner: Clean Data Frames

Fill NAs

Description

use tidyselect to fill NA values Default behavior is to fill all integer or double columns cols with 0, preserving their types.

Usage

fill_na(.data, ..., fill = 0L, missing_type = c("all", "NA", "NaN", "Inf"))

Arguments

.data	data frame
...	tidyselect specification. Default selection: none
fill	value to fill missings
missing_type	character vector. Choose what type of missing to fill. Default is all types. choose from "all", "Na", "NaN", "Inf"

Value

data frame

Examples

tibble::tibble(x = c(NA, 1L, 2L, NA, NaN, 5L, Inf)) -> tbl

tbl %>%
  fill_na()

tbl %>%
 fill_na(fill = 1L, missing_type = "Inf")

tbl %>%
 fill_na(missing_type = "NaN")

Harrison4192/dataCleaner documentation built on March 20, 2024, 3:12 p.m.