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naniar  

Data Structures, Summaries, and Visualisations for Missing Data
View on CRAN: Click here


Download and install naniar package within the R console
Install from CRAN:
install.packages("naniar")

Install from Github:
library("remotes")
install_github("cran/naniar")

Install by package version:
library("remotes")
install_version("naniar", "1.1.0")



Attach the package and use:
library("naniar")
Maintained by
Nicholas Tierney
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-09
Latest Update: 2024-03-05
Description:
Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data. The work is fully discussed at Tierney & Cook (2023) .
How to cite:
Nicholas Tierney (2017). naniar: Data Structures, Summaries, and Visualisations for Missing Data. R package version 1.1.0, https://cran.r-project.org/web/packages/naniar. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 0.1.0 (2017-08-09 06:06), 0.2.0 (2018-02-09 07:01), 0.3.0 (2018-06-07 18:18), 0.3.1 (2018-06-08 10:03), 0.4.0.0 (2018-09-10 14:40), 0.4.1 (2018-11-20 09:20), 0.4.2 (2019-02-15 15:30), 0.5.0 (2020-02-28 08:20), 0.5.1 (2020-05-01 00:00), 0.5.2 (2020-06-29 10:00), 0.6.0 (2020-09-02 11:50), 0.6.1 (2021-05-14 12:20), 1.0.0 (2023-02-02 10:50)
Other packages that cited naniar R package
View naniar citation profile
Other R packages that naniar depends, imports, suggests or enhances
Complete documentation for naniar
Functions, R codes and Examples using the naniar R package
Some associated functions: add_any_miss . add_label_missings . add_label_shadow . add_miss_cluster . add_n_miss . add_prop_miss . add_shadow . add_shadow_shift . add_span_counter . all-is-miss-complete . any-na . any_row_miss . as_shadow . as_shadow_upset . bind_shadow . cast_shadow . cast_shadow_shift . cast_shadow_shift_label . common_na_numbers . common_na_strings . draw_key . gather_shadow . geom_miss_point . gg_miss_case . gg_miss_case_cumsum . gg_miss_fct . gg_miss_span . gg_miss_upset . gg_miss_var . gg_miss_var_cumsum . gg_miss_which . impute_below . impute_below_all . impute_below_at . impute_below_if . impute_mean . impute_median . is_shade . label_miss_1d . label_miss_2d . label_missings . mcar_test . miss-pct-prop-defunct . miss_case_cumsum . miss_case_summary . miss_case_table . miss_prop_summary . miss_scan_count . miss_summary . miss_var_cumsum . miss_var_run . miss_var_span . miss_var_summary . miss_var_table . miss_var_which . n-var-case-complete . n-var-case-miss . n_complete . n_complete_row . n_miss . n_miss_row . nabular . naniar-ggproto . naniar . oceanbuoys . pct-miss-complete-case . pct-miss-complete-var . pct_complete . pct_miss . pedestrian . plotly_helpers . prop-miss-complete-case . prop-miss-complete-var . prop_complete . prop_complete_row . prop_miss . prop_miss_row . recode_shadow . reexports . replace_to_na . replace_with_na . replace_with_na_all . replace_with_na_at . replace_with_na_if . riskfactors . scoped-impute_mean . scoped-impute_median . set-prop-n-miss . shade . shadow_long . shadow_shift.numeric . shadow_shift . stat_miss_point . unbinders . where . where_na . which_are_shade . which_na . 
Some associated R codes: add-cols.R . add-n-prop-miss.R . cast-shadows.R . data-common-na-numbers.R . data-common-na-strings.R . data-oceanbuoys.R . data-pedestrian.R . data-riskfactors.R . geom-miss-point.R . geom2plotly.R . gg-miss-case-cumsum.R . gg-miss-case.R . gg-miss-fct.R . gg-miss-span.R . gg-miss-upset.R . gg-miss-var-cumsum.R . gg-miss-var.R . gg-miss-which.R . helpers.R . impute-median.R . impute_below.R . impute_mean.R . label-miss.R . legend-draw.R . mcar-test.R . miss-complete-x-pct-prop.R . miss-prop-pct-summary.R . miss-scan-count.R . miss-x-cumsum.R . miss-x-run.R . miss-x-span.R . miss-x-summary.R . miss-x-table.R . n-prop-miss-complete-rows.R . n-prop-miss-complete.R . n-var-miss.R . nabular.R . naniar-ggproto.R . naniar-package.R . prop-pct-var-case-miss-complete.R . replace-to-na.R . replace-with-na.R . scoped-replace-with-na.R . set-n-prop-miss.R . shade.R . shadow-recode.R . shadow-shifters.R . shadows.R . stat-miss-point.R . utils.R . where-na.R .  Full naniar package functions and examples
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