Package: na.tools 0.3.2

Christopher Brown

na.tools: Comprehensive Library for Working with Missing (NA) Values in Vectors

This comprehensive toolkit provide a consistent and extensible framework for working with missing values in vectors. The companion package 'tidyimpute' provides similar functionality for list-like and table-like structures). Functions exist for detection, removal, replacement, imputation, recollection, etc. of 'NAs'.

Authors:Christopher Brown [aut, cre], Decision Patterns [cph]

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NEWS

# Install 'na.tools' in R:
install.packages('na.tools', repos = c('https://decisionpatterns.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/decisionpatterns/na.tools/issues

On CRAN:

36 exports 2 stars 0.84 score 0 dependencies 114 scripts 286 downloads

Last updated 6 years agofrom:0af161bf63. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 18 2024
R-4.5-winOKSep 18 2024
R-4.5-linuxOKSep 18 2024
R-4.4-winOKSep 18 2024
R-4.4-macOKSep 18 2024
R-4.3-winOKSep 18 2024
R-4.3-macOKSep 18 2024

Exports:all_naany_nacoerce_safeis_nan_naNA_explicit_NA_logicalna.bootstrapna.constantna.cummaxna.cumminna.cumprodna.cumsumna.explicitna.falsena.howmanyna.implicitna.infna.maxna.meanna.medianna.minna.modena.most_freqna.nna.neginfna.pctna.quantilena.replacena.resamplena.rmna.truena.unreplacena.zeropct_nawhich_na

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Tests for missing valuesall_na all_na.default any_na is_na which_na
coerce_safecoerce_safe
Imputation by Cummutative Functions Impute using replacement values calculated from a univariate, cummuative function.impute-commutative na.max na.mean na.median na.min na.mode na.most_freq na.quantile
Impute by Constant Value Replaces 'NA's by a constantimpute-constant na.constant na.false na.inf na.neginf na.true na.zero
non-commutative imputation Impute missing values using non-commutative functions, i.e. where the order *matters*.impute-noncommutative na.cummax na.cummin na.cumprod na.cumsum
Counts how many values are NAna.howmany na.n na.pct n_na pct_na
NA_explicit_NA_explicit_
NA_logicalNA_logical
na.bootstrapna.bootstrap na.resample
Replace Missing Valuesna.explicit na.replace
na.rmna.rm
na.unreplacena.implicit na.unreplace na.unreplace.character na.unreplace.default na.unreplace.factor