na.bootstrap: na.bootstrap

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

Description

Replace missing values with value randomly drawn from x

Usage

na.bootstrap(.x, ...)

na.resample(.x, ...)

Arguments

.x	vector with
...	additional arguments passed to base::sample()

Details

na.random replaces missing values by sampling the non-missing values. By default aampling occurs with replacement since more valuables may be needed than are available. This function is based on base::sample().

The default is to replace bv sampling a population defined by the non-missing values of .x with replacement

na.random is an alias for na.bootstrap. '

Note

na.bootstrap is non-deterministic. Use base::set.seed() to make it deterministic

See Also

• base::sample()

Examples

  x <- c(1,NA,3)
  na.bootstrap(x)
  

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