replace_with_na: Replace values with missings

In njtierney/naniar: Data Structures, Summaries, and Visualisations for Missing Data

Replace values with missings

Description

Specify variables and their values that you want to convert to missing values. This is a complement to tidyr::replace_na.

Usage

replace_with_na(data, replace = list(), ...)

Arguments

data	A data.frame
replace	A named list given the NA to replace values for each column
...	additional arguments for methods. Currently unused

Value

Dataframe with values replaced by NA.

See Also

replace_with_na() replace_with_na_all() replace_with_na_at() replace_with_na_if()

Examples

dat_ms <- tibble::tribble(~x,  ~y,    ~z,
                         1,   "A",   -100,
                         3,   "N/A", -99,
                         NA,  NA,    -98,
                         -99, "E",   -101,
                         -98, "F",   -1)

replace_with_na(dat_ms,
               replace = list(x = -99))

replace_with_na(dat_ms,
             replace = list(x = c(-99, -98)))

replace_with_na(dat_ms,
             replace = list(x = c(-99, -98),
                          y = c("N/A"),
                          z = c(-101)))

njtierney/naniar documentation built on March 19, 2024, 9:48 p.m.