This function removes variables from a data.frames when their proportion
of missing values is too high.
Usage
remove_vars_with_too_many_missing(df, pmissing = 0.9)
Arguments
- df
data.frame
- pmissing
(proportion 0-1) maximum proportion of
missingness tolerated in each variable
Value
df with variables with too many missing values removed
Examples
df <- df |> remove_vars_with_too_many_missing(pmissing=.80)
#> [1] "Removed variables with more than 80% missing:"
#> character(0)
