Missing Data Indicators

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.

# S3 method for rv
is.na(x)

Arguments

x

an rv object

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).

Details

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

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").

Author

Jouni Kerman jouni@kerman.com

Examples

  x <- trunc(rvnorm(1))
  y <- !(x==0 & NA) # TRUE if x!=0
  x <- y*x
  is.na(x)     # 69%: Pr(-1<Z<1)
#>     mean   sd 1% 2.5% 25% 50% 75% 97.5% 99% sims
#> [1] 0.68 0.47  0    0   0   1   1     1   1  200
  is.logical(is.na(x)) # TRUE
#> [1] FALSE
  rv.any.na(x) # TRUE
#> [1] TRUE
  rv.all.na(x) # FALSE
#> [1] FALSE