ggmice

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Develop function similar to `plot_corr()` to visualize the correlation between the missingness indicator and all other variables.

hanneoberman

create wrapper functions for 'old friends'

1

e.g. `plot_bw()`

hanneoberman

Meaning: the current function uses facets, but doesn't generate legible output for many variables. Add an argument to split up the figure into separate plots.

hanneoberman

hanneoberman

Set `ggmice()` default `fill` to mice colors

2

``` r library(ggmice) library(mice) #> Warning: package 'mice' was built under R version 4.3.1 #> #> Attaching package: 'mice' #> The following objects are masked from 'package:ggmice': #> #> bwplot,...

hanneoberman

``` r library(mice) #> Warning: package 'mice' was built under R version 4.3.1 #> #> Attaching package: 'mice' #> The following object is masked from 'package:stats': #> #> filter #>...

hanneoberman

See e.g. `ampute()` in `mice`

hanneoberman

Facets are alphabetical, whereas they should be ordered according to the columns in the incomplete data. ``` r library(mice) library(ggmice) imp ``` r plot_trace(imp) ```  ``` r ࠀᰅ #...

hanneoberman

Improve `verify_data` function

4

Automatically parse allowed data types rather than manual specification. Additional checks if data are of type `matrix` are left in. Should resolve #85

pepijnvink

add 'grid' argument for plot_pattern, plot_pred, and plot_corr

4

Based on #131. However, it does not solve the example.

pepijnvink