is.na.rv: Missing Data Indicators

View source: R/is_na_rv.R

is.na.rvR Documentation

Missing Data Indicators

Description

is.na.rv returns the distribution (random variable) of the indicator function of missing data. rv.all.na returns TRUE if all components of the argument vector are completely missing. rv.any.na returns TRUE if any component of the argument vector has missing values.

Usage

## S3 method for class 'rv'
is.na(x)

Arguments

x

an rv object

Details

Internally, is.na.rv applies the function is.na to each simulation of each component of the argument vector.

Value

is.na.rv returns a "Bernoulli" random vector of the same length and dimension as those of x.

rv.all.na and rv.any.na return TRUE or FALSE (single value).

Author(s)

Jouni Kerman jouni@kerman.com

References

Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing Posterior Simulations Using Random Variable Objects. Statistics and Computing 17:3, 235-244.

See also vignette("rv").

Examples

  x <- trunc(rvnorm(1))
  y <- !(x==0 & NA) # TRUE if x!=0
  x <- y*x
  is.na(x)     # 69%: Pr(-1<Z<1)
  is.logical(is.na(x)) # TRUE
  rv.any.na(x) # TRUE
  rv.all.na(x) # FALSE
  

rv documentation built on March 18, 2022, 5:55 p.m.