cleanepi (version 1.1.1)

replace_missing_values: 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
)

Value

The input data where missing values are replaced by NA.

Arguments

data

The input <data.frame> or <linelist>

target_columns

A <vector> of column names. If provided, missing values will be substituted only in the specified columns. When the input data is a <linelist> object, this parameter can be set to linelist_tags to replace missing values with NA in the tagged columns only.

na_strings

A <vector> of characters that represent 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.

Examples

data <- readRDS(
  system.file("extdata", "test_df.RDS", package = "cleanepi")
)

# replace all occurrences of '-99' with NA
cleaned_data <- replace_missing_values(
  data = data,
  target_columns = NULL,
  na_strings = "-99"
)

# print the names of the columns where the replacement occurred
print_report(cleaned_data, "missing_values_replaced_at")