Replace values with NA based on some condition, for variables that meet some predicate
Replace values with NA based on some condition, for variables that meet some predicate
replace_with_na_if(data, .predicate, condition)
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: |
Dataframe
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)))
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