na.bootstrap: na.bootstrap

Description Usage Arguments Details Note See Also Examples

View source: R/na.sample.R

Description

Replace missing values with value randomly drawn from x

Usage

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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

Examples

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

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