Obtain a summary of the missing values involved in an object of class JointAI

This function returns the number and proportion of complete cases, and of missing values per variable, in the data used in the model, separately per level of the data.

Usage

get_missinfo(object)

Arguments

object

object inheriting from class JointAI

Value

A list with two elements:

complete_cases

a data.frame with one row per level and columns # (number of complete cases) and % (proportion of complete cases in percent);

miss_list

a list with one data.frame per level, with one row per variable and columns # NA (number of missing values) and % NA (proportion of missing values in percent).

In multi-level settings, the data.frames have an additional column level.

Examples

mod <-  lm_imp(y ~ C1 + B2 + C2, data = wideDF, n.iter = 100)
get_missinfo(mod)
#> $complete_cases
#>         #  %
#> lvlone 77 77
#> 
#> $miss_list
#> $miss_list$lvlone
#>    # NA % NA
#> y     0    0
#> C1    0    0
#> C2    4    4
#> B2   20   20
#> 
#>