CRAN

naniar 0.4.2

Data Structures, Summaries, and Visualisations for Missing Data

Released Feb 15, 2019 by Nicholas Tierney

This package cannot yet be used with Renjin it depends on other packages which are not available: tibble 2.0.1, visdat 0.5.3, ggplot2 3.1.0, dplyr 0.8.0.1, rlang 0.3.1, purrr 0.3.0, and tidyr 0.8.2 An older version of this package is more compatible with Renjin.

Dependencies

tidyr 0.8.2 dplyr 0.8.0.1 rlang 0.3.1 ggplot2 3.1.0 purrr 0.3.0 visdat 0.5.3 tibble 2.0.1 UpSetR 1.3.3 viridis 0.5.1 magrittr 1.5 forcats 0.3.0 glue 1.3.0

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.

Source

R

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