naniar: add_miss_cluster – R documentation

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add_miss_cluster

Add a column that tells us which "missingness cluster" a row belongs to

Description

A way to extract the cluster of missingness that a group belongs to. For example, if you use vis_miss(airquality, cluster = TRUE), you can see some clustering in the data, but you do not have a way to identify the cluster. Future work will incorporate the seriation package to allow for better control over the clustering from the user.

Usage

add_miss_cluster(data, cluster_method = "mcquitty", n_clusters = 2)

Arguments

`data`	a dataframe
`cluster_method`	character vector of the agglomeration method to use, the default is "mcquitty". Options are taken from `stats::hclust` helpfile, and options include: "ward.D", "ward.D2", "single", "complete", "average" (= UPGMA), "mcquitty" (= WPGMA), "median" (= WPGMC) or "centroid" (= UPGMC).
`n_clusters`	numeric the number of clusters you expect. Defaults to 2.

Examples

add_miss_cluster(airquality)
add_miss_cluster(airquality, n_clusters = 3)
add_miss_cluster(airquality, cluster_method = "ward.D", n_clusters = 3)

naniar

Data Structures, Summaries, and Visualisations for Missing Data

v0.6.0

MIT + file LICENSE

Authors

Nicholas Tierney [aut, cre] (<https://orcid.org/0000-0003-1460-8722>), Di Cook [aut] (<https://orcid.org/0000-0002-3813-7155>), Miles McBain [aut] (<https://orcid.org/0000-0003-2865-2548>), Colin Fay [aut] (<https://orcid.org/0000-0001-7343-1846>), Mitchell O'Hara-Wild [ctb], Jim Hester [ctb], Luke Smith [ctb]

Initial release