replace_with_na_if: Replace values with NA based on some condition, for variables...

View source: R/scoped-replace-with-na.R

replace_with_na_ifR Documentation

Replace values with NA based on some condition, for variables that meet some predicate

Description

Replace values with NA based on some condition, for variables that meet some predicate

Usage

replace_with_na_if(data, .predicate, condition)

Arguments

data

Dataframe

.predicate

A predicate function to be applied to the columns or a logical vector.

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".

Value

Dataframe

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_with_na_if(data = dat_ms,
                 .predicate = is.character,
                 condition = ~.x == "N/A")
replace_with_na_if(data = dat_ms,
                   .predicate = is.character,
                   condition = ~.x %in% common_na_strings)

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



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