Add plotting functionality (inside ggmice() or as separate function) for conditional distribution based on missingness indicator

[hanneoberman]

Start from here?

# ggplot2::ggplot(dat, ggplot2::aes(y = age, group = is.na(bmi))) +
#   ggplot2::geom_boxplot() 
# ggmice(dat, ggplot2::aes(y = age)) +
#   ggplot2::geom_boxplot() 

[hanneoberman]

Add these examples to vignette:

# continuous variable
ggmice(mice::boys, aes(age)) +
        geom_density() + 
        facet_wrap(~factor(is.na(bmi) == 0, labels = c("bmi observed", "bmi missing")))
# categorical variable
ggmice(mice::boys, aes(reg)) +
    geom_bar(fill = "white") + 
    facet_wrap(~factor(is.na(bmi) == 0, labels = c("bmi observed", "bmi missing")))

[hanneoberman]

Fixed in #26

[hanneoberman]

Maybe just use labeller = label_both as default instead of creating a factor in vignette