Handle Missing Values in Objects

Returns the object with missing data replaced by zeros. This is sometimes useful for example when working with inverse probability weighting of the complete-case data.

Usage

na.pass0(object, na.action = na.omit, ...)

Arguments

object

data.frame, vector

na.action

function used to identify missing values

...

additional arguments to lower level functions

See also

na.pass(), na.omit(), na.fail()

Examples

d <- data.frame(y=c(1,1,NA,2,NA,2), r=c(1,1,0,1,1,1))
na.pass0(d)
#>   y r
#> 1 1 1
#> 2 1 1
#> 3 0 0
#> 4 2 1
#> 5 0 0
#> 6 2 1
glm(y ~ 1, weights=d$r, data=d, na.action=na.pass0)
#> 
#> Call:  glm(formula = y ~ 1, data = d, weights = d$r, na.action = na.pass0)
#> 
#> Coefficients:
#> (Intercept)  
#>         1.5  
#> 
#> Degrees of Freedom: 3 Total (i.e. Null);  3 Residual
#> Null Deviance:	    1 
#> Residual Deviance: 1 	AIC: Inf