Missing Data Explorer

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Documentation for package ‘mde’ version 0.3.2

• 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