Hanne Oberman

icon indicating a website link hanneoberman.github.io

icon company @amices @utrechtuniversity icon location Utrecht, The Netherlands icon location PhD candidate in Methodology and Statistics at Utrecht University, The Netherlands.

Results 74 comments of Hanne Oberman

Plot variance of predicted values after imputation

Okay, now there are just 1 error message in the example and 1 NOTE remaining :) ``` checking R code for possible problems ... NOTE plot_variance: no visible binding for...

Plot variance of predicted values after imputation

Optional: add a 'perfect prediction' line with `geom_abline(intercept = 0, slope = 1)`?

Plot variance of predicted values after imputation

Another addition: the `vrb` argument that all other `ggmice` functions have!

add plot_pred compatibility with `mids` object and add test

Make this a message instead, notifying that the methods vector will be ignored.

add plot_pred compatibility with `mids` object and add test

TODO: Add this change to `NEWS` and add example to vignette

Create general pre-processing function for internal use

If the `vrb` argument will be deprecated, use https://lifecycle.r-lib.org/reference/index.html

Create general pre-processing function for internal use

See also: http://adv-r.had.co.nz/Computing-on-the-language.html and https://adv-r.hadley.nz/meta-big-picture.html

Create general pre-processing function for internal use

Use shorthand for `NULL` defaults: https://design.tidyverse.org/def-short.html?q=%25%7C%7C%25#arg-short-null

Create general pre-processing function for internal use

Fixed in #94

Create general pre-processing function for internal use

@pepijnvink Please split this up into `verify_df`, `verify_mids`, etc.