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mde (version 0.2.1)

Missing Data Explorer

Description

Correct identification and handling of missing data is one of the most important steps in any analysis. To aid this process, 'mde' provides a very easy to use yet robust framework to quickly get an idea of where the missing data lies and therefore find the most appropriate action to take. Graham WJ (2009) .

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Version

Install

install.packages('mde')

Monthly Downloads

233

Version

0.2.1

License

GPL-3

Issues

1

Pull Requests

1

Stars

5

Forks

4

Maintainer

Nelson Gonzabato

Last Published

June 27th, 2020

Functions in mde (0.2.1)

recode_as_na_for

Recode Values as NA if they meet defined criteria
recode_na_as

Replace missing values with another value
drop_na_at

Drop missing values at columns that match a given pattern
get_na_counts

Add columnwise/groupwise counts of missing values
drop_all_na

Drop columns for which all values are NA
recode_as_na

Recode a value as NA
percent_missing

Columnwise missingness percentages
drop_na_if

Conditon based dropping of columns with missing values
recode_na_if

Recode NA as another value with some conditions
na_summary

An all-in-one missingness report
sort_by_missingness

Sort Variables according to missingness
custom_na_recode

Recode NA as another value using a function or a custom equation