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Hanne Oberman
@oberman.bsky.social
PhD candidate @utrechtuniversity.bsky.social | she/her, they/them | rstats | missing data | dataviz | open science | rainbowR 🌈 | other @s linktr.ee/hanneoberman
150 followers380 following5 posts
HOoberman.bsky.social

#useR2024 talk to me about missing data!

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
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HO
Hanne Oberman
@oberman.bsky.social
PhD candidate @utrechtuniversity.bsky.social | she/her, they/them | rstats | missing data | dataviz | open science | rainbowR 🌈 | other @s linktr.ee/hanneoberman
150 followers380 following5 posts
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