Warnings given for gg_miss_fct

[njtierney]

Resolve these warnings:

library(naniar)
gg_miss_fct(riskfactors, marital)
#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`

#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`

#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`

#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`
#> Warning: `cols` is now required.
#> Please use `cols = c(data)`
#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`

#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`

^{Created on 2019-10-21 by the reprex package (v0.3.0)}

[njtierney]

It's not to do with the plot actually - here's a more minimal reprex:

library(naniar)
risk_group <- dplyr::group_by(riskfactors, marital)
#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`
miss_var_summary(risk_group)
#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`

#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`

#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`
#> Warning: `cols` is now required.
#> Please use `cols = c(data)`
#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`

#> Warning: Factor `marital` contains implicit NA, consider using
#> `forcats::fct_explicit_na`
#> # A tibble: 231 x 4
#> # Groups:   marital [7]
#>    marital variable      n_miss pct_miss
#>    <fct>   <chr>          <int>    <dbl>
#>  1 Married smoke_stop       120    91.6 
#>  2 Married pregnant         117    89.3 
#>  3 Married smoke_last        84    64.1 
#>  4 Married smoke_days        73    55.7 
#>  5 Married drink_average     68    51.9 
#>  6 Married health_poor       67    51.1 
#>  7 Married drink_days        67    51.1 
#>  8 Married weight_lbs         6     4.58
#>  9 Married bmi                6     4.58
#> 10 Married diet_fruit         4     3.05
#> # … with 221 more rows

^{Created on 2019-10-21 by the reprex package (v0.3.0)}

[njtierney]

I'm not sure if this actually an issue with naniar, it's more an issue with using factors that don't have missingness encoded correctly:

library(naniar)
riskfactors %>% 
  dplyr::mutate(m2 = forcats::fct_explicit_na(marital)) %>% 
  dplyr::group_by(m2)
#> # A tibble: 245 x 35
#> # Groups:   m2 [7]
#>    state sex     age weight_lbs height_inch   bmi marital pregnant children
#>    <fct> <fct> <int>      <int>       <int> <dbl> <fct>   <fct>       <int>
#>  1 26    Fema…    49        190          64  32.7 Married <NA>            0
#>  2 40    Fema…    48        170          68  25.9 Divorc… <NA>            0
#>  3 72    Fema…    55        163          64  28.0 Married <NA>            0
#>  4 42    Male     42        230          74  29.6 Married <NA>            1
#>  5 32    Fema…    66        135          62  24.7 Widowed <NA>            0
#>  6 19    Male     66        165          70  23.7 Married <NA>            0
#>  7 45    Male     37        150          68  22.9 Married <NA>            3
#>  8 56    Fema…    62        170          70  24.4 NeverM… <NA>            0
#>  9 18    Male     38        146          70  21.0 Married <NA>            2
#> 10 8     Fema…    42        260          73  34.4 Separa… No              3
#> # … with 235 more rows, and 26 more variables: education <fct>,
#> #   employment <fct>, income <fct>, veteran <fct>, hispanic <fct>,
#> #   health_general <fct>, health_physical <int>, health_mental <int>,
#> #   health_poor <int>, health_cover <fct>, provide_care <fct>,
#> #   activity_limited <fct>, drink_any <fct>, drink_days <int>,
#> #   drink_average <int>, smoke_100 <fct>, smoke_days <fct>,
#> #   smoke_stop <fct>, smoke_last <fct>, diet_fruit <int>,
#> #   diet_salad <int>, diet_potato <int>, diet_carrot <int>,
#> #   diet_vegetable <int>, diet_juice <int>, m2 <fct>

^{Created on 2019-10-21 by the reprex package (v0.3.0)}

I'm not sure if this should be a problem for naniar, or an issue for the user, who should change their data?