naniar: naniar

In naniar: Data Structures, Summaries, and Visualisations for Missing Data

naniar

Description

naniar is a package to make it easier to summarise and handle missing values in R. It strives to do this in a way that is as consistent with tidyverse principles as possible. The work is fully discussed at Tierney & Cook (2023) doi:10.18637/jss.v105.i07.

See Also

add_any_miss() add_label_missings() add_label_shadow() add_miss_cluster() add_n_miss() add_prop_miss() add_shadow() add_shadow_shift() as_shadow() bind_shadow() cast_shadow() cast_shadow_shift() cast_shadow_shift_label() draw_key_missing_point() gather_shadow() geom_miss_point() gg_miss_case() gg_miss_case_cumsum() gg_miss_fct() gg_miss_span() gg_miss_var() gg_miss_var_cumsum() gg_miss_which() label_miss_1d() label_miss_2d() label_missings() pct_miss_case() prop_miss_case() pct_miss_var() prop_miss_var() pct_complete_case() prop_complete_case() pct_complete_var() prop_complete_var() miss_prop_summary() miss_case_summary() miss_case_table() miss_summary() miss_var_prop() miss_var_run() miss_var_span() miss_var_summary() miss_var_table() n_complete() n_complete_row() n_miss() n_miss_row() pct_complete() pct_miss() prop_complete() prop_complete_row() prop_miss() prop_miss_row() replace_to_na() replace_with_na() replace_with_na_all() replace_with_na_at() replace_with_na_if() shadow_shift() stat_miss_point() vis_miss() where_na()

naniar documentation built on Feb. 16, 2023, 5:11 p.m.