Hanne Oberman

@oberman.bsky.social

1506 Followers 1547 Following

PhD candidate in Utrecht @utrechtuniversity.bsky.social | they/them | rstats | missing data | dataviz | open science @opensciutrecht.bsky.social | @rainbowr.org 🌈 | hanneoberman.github.io

this post sandwiched between two package release posts
presentation with slide titled 'linguïstic injustice'
R code: > library(devtools) Loading required package: usethis > load_all() ℹ Loading sessioncheck > sessioncheck() Warning message: Session check results: - Objects in global environment: [no issues] - Attached packages: sessioncheck, testthat, devtools, usethis - Attached environments: devtools_shims
Presentation by Ionica Smeets: communication goals
Academic poster. Available as PDF via https://hanneoberman.github.io/presentations/2025/METASCIENCE/Metascience.pdf
METASCIENCE panel in lecture hall
lecture hall full of people listening to the UK minister of science at METASCIENCE
lecture hall with presentation about the benefits of reproduction in history
lecture hall with presentation about the evolution of reproducibility
poster: Teaching Reproducibility to Research Master's Students What resources to use? And which tools/elements are domain agnostic?
lecture hall with people
selfie with my poster, poster link to follow!
protest at Malieveld in The Hague with a sign saying "don't regress our future"
trans pride flag: horizontal stripes alternating blue, pink, white, pink, blue
Screencap from statistics textbook. Highlighted text "Unnormalized weirdo" Full text fragment: Example 2: Unnormalized weirdo distribution with p(Bly) o< exp(—0.56%) [sin(66)? + 3 cos(6)? sin(46)? + 1] with g(f) oc exp(—0.56%) and M = 5. (This example shows you can also use the method with only knowledge of the unnormalized posterior.)
picture of a protest with the Dom tower in the background, and a sign saying "pleeg geen roofbouw"
rainbowR queer data book club starting Nov 14th link: rainbowR.org/book-club
screencap of a tweet by me (Hanne Oberman) with another screencap and a caption image: google query "how to find out how old is a tree" with result "if you know when the tree was planted, you can easily and accurately determine its age" caption: software documentation be like
flyer protest STOP THE CUTS IN HIGHER EDUCATION NO LAYOFFS! NO PENALTY FOR STUDY DELAYS! JOIN THE DEMONSTRATION ON THURSDAY NOVEMBER 14TH AT 1 PM, IN MOREELSEPARK, UTRECHT
A little life audiobook
banner image with an avatar, and some logos. the avatar has short blond hair and a happy expression. the logos include the R packages mice and GG mice, the open science community utrecht, climate stripes, and the dutch activist group higher education in action
Poster presented at useR! Visualization of incomplete and imputed data With the R package ggmice Visualizations for mice with ggplot2 Enhance a mice imputation workflow with ggmice for visualizations of incomplete and/or imputed data. The resulting ggplot objects may be easily manipulated or extended. Use ggmice to inspect missing data, develop imputation models, evaluate algorithmic convergence, or compare observed versus imputed data. The ggmice package can be installed from CRAN with install.packages(‘ggmice’). Subsequently, the packages vignettes may be retrieved with ??ggmice. More extensive documentation can be found on the package website: amices.org/ggmice. Package contributions and bug reports are welcome through the development repository. Using mice for missing data The R package mice has become the de facto standard to handle the ubiquitous problem of incomplete data. With mice, missing data points are ‘imputed’ (i.e. filled in) to obtain several comple
academic headshot picture: person with short blond hair and glasses smiling into the camera with arms crossed