README.md

In decisionpatterns/na.actions: Comprehensive Library For Handling Missing Values

na.actions: Comprehensive Library For Handling Missing Values

na.actions is a comprehensive library for handling missing (NA) values. laregly extending the existing na.* functions found in the stats packages. These Functions provide for detection, removal, replacement, recollection, imputation, etc. of NAs. In short, it is a comprehensive tool set for common operations when working with missing values.

Feature List

• Extents functionality of of existing na.* functions found in the stats package.
• NA replacement
• type/class and length-safe replacement
• replace by scalar, vector, functions
• imputation with complex formula and methods
• recall/track which value have been replaced
• high-level function for common replacements: mean, median, max, min, zero, Inf

Installation

Github

library(devtools)
install_github( "decisionpatterns/na.actions")

CRAN

Coming Soon ...

Function List

Detections

• which_na
• all_na
• any_na

Removal / Ommision / Exclusion

• na_rm
• na_trim

Replacement / Imputation

There are a num

Constants * na_zero - 0 * na.inf / na.neginf - Inf/-Inf * na_constant

Computed (univariate): * na_n - count of NA values * na_max - maximum * na_min - minumum * na_mean - mean * na_median - median value

Computed (univariate, ordered/time-series objects): * na_loess - loess smoother, assumes values are ordered * na_spline - * na_locf - last observation carried forward, assumes ordered * na_nocb - next observation carried backwards, assumes ordered * na_structTS - Kalman Filter replacement

Computed (multivariate) * na_predict - use a model * na_roughfix - * na_approx -

General: * na_replace - atomic vectors only * na_explicit - atomic or recursive structures

Miscellaneous

• na.roughfix.POSIXct - use with datetime values

Examples

na.replace( c(1,NA,3), 2)

decisionpatterns/na.actions documentation built on Aug. 25, 2020, 8:04 p.m.