R: Missing Data Explorer

# Missing Data Explorer

## Documentation for package ‘mde’ version 0.3.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

all_na | Checks that all values are NA
column_based_recode | Conditionally Recode NA values based on other Columns
custom_na_recode | Recode NA as another value using a function or a custom equation
dict_recode | Recode Missing Values Dictionary-Style
drop_all_na | Drop columns for which all values are NA
drop_na_at | Drop missing values at columns that match a given pattern
drop_na_if | Condition based dropping of columns with missing values
drop_row_if | Conditionally drop rows based on percent missingness
get_na_counts | Add columnwise/groupwise counts of missing values
get_na_means | Get mean missingness.
na_counts | Get NA counts for a given character, numeric, factor, etc.
na_summary | An all-in-one missingness report
percent_missing | Column-wise missingness percentages
percent_na | percent missing but for vectors.
recode_as_na | Recode a value as NA
recode_as_na_for | Recode Values as NA if they meet defined criteria
recode_as_na_if | Conditionally change all column values to NA
recode_as_na_str | Recode as NA based on string match
recode_as_value | Recode a value as another value
recode_helper | Helper functions in package mde
recode_na_as | Replace missing values with another value
recode_na_if | Recode NA as another value with some conditions
recode_selectors | Helper functions in package mde
sort_by_missingness | Sort Variables according to missingness