impute-noncommutative: non-commutative imputation Impute missing values using...

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

Description

non-commutative imputation

Impute missing values using non-commutative functions, i.e. where the order matters.

Usage

na.cummax(.x, ...)

na.cummin(.x, ...)

na.cumsum(.x, ...)

na.cumprod(.x, ...)

Arguments

.x	atomic-vector with 0 or more missing values
...	additional arguments

Details

Non-commutative imputations functions assume that .x is in the proper order since the values depend on order. Usually, this is relevant then .x is part of a table.

These functions replaces NA values with the cummulative max of .x. Internally, fun(.x, na.rm=TRUE, ... ) is used. If the function cannot be calculated (e.g. .x isn't numeric) then x is returned unchanged with a warning.

Use of na.cumsum and na.cumprod are dangerous since they omit missing values that may contribute to

See Also

• base::cummax()

• impute-commutative

decisionpatterns/na.tools documentation built on May 25, 2019, 4:23 p.m.