replace_missing_values {cleanepi}

Replace missing values with NA

Description

Replace missing values with NA

Usage

replace_missing_values(
  data,
  target_columns = NULL,
  na_strings = cleanepi::common_na_strings
)

Arguments

data

A data frame or linelist

target_columns

A vector of column names. If provided, the substitution of missing values will only be executed in those specified columns. When the input data is a linelist object, this parameter can be set to linelist_tags if you wish to replace missing values with NA on tagged columns only.

na_strings

This is a vector of strings that represents the missing values in the columns of interest. By default, it utilizes cleanepi::common_na_strings. However, if the missing values string in the columns of interest is not included in this predefined vector, it can be used as the value for this argument.

Value

The input data where missing values are replaced by NA.

Examples

cleaned_data <- replace_missing_values(
  data           = readRDS(system.file("extdata", "test_df.RDS",
                                       package = "cleanepi")),
  target_columns = "sex",
  na_strings     = "-99"
)