View source: R/scoped-replace-with-na.R
replace_with_na_if | R Documentation |
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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