ggmice
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amices
Visualize incomplete and imputed data with the R package `ggmice`
``` r library(mice); library(ggmice); library(ggplot2) plot_flux(boys) ```  ``` r plot_flux(boys, label = FALSE) ```  ``` r plot_flux(boys, label = FALSE) + ggrepel::geom_label_repel(aes(label = vrb)) #> Warning: ggrepel: 2...
See e.g. new examples added in #157
See https://cli.r-lib.org/reference/cli_abort.html (and https://rlang.r-lib.org/reference/topic-condition-formatting.html). E.g. how the user is informed about a function argument `{. var}`
How to scale the statistics to make this as informative as possible (e.g. variance vs SD). And should the imputed data be the imputed values only, or the statistics after...
```r dat
Only `plot_pred()` is addressed in #124, but also do for `plot_pattern()` etc.
``` `geom_line()`: Each group consists of only one observation. ℹ Do you need to adjust the group aesthetic? `geom_line()`: Each group consists of only one observation. ℹ Do you need...