replace_with_na_all: Replace all values with NA where a certain condition is met

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

Replace all values with NA where a certain condition is met

Description

This function takes a dataframe and replaces all values that meet the condition specified as an NA value, following a special syntax.

Usage

replace_with_na_all(data, condition)

Arguments

data	A dataframe
condition	A condition required to be TRUE to set NA. Here, the condition is specified with a formula, following the syntax: ⁠~.x {condition}⁠. For example, writing ~.x < 20 would mean "where a variable value is less than 20, replace with NA".

Examples

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

dat_ms
#replace all instances of -99 with NA
replace_with_na_all(data = dat_ms,
                    condition = ~.x == -99)

# replace all instances of -99 or -98, or "N/A" with NA
replace_with_na_all(dat_ms,
                    condition = ~.x %in% c(-99, -98, "N/A"))
# replace all instances of common na strings
replace_with_na_all(dat_ms,
                    condition = ~.x %in% common_na_strings)

# where works with functions
replace_with_na_all(airquality, ~ sqrt(.x) < 5)

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