Even if I don't win the #MOOD_H2020 hackathon, my takeaway is how useful
@rOpenSci
#targets #rpackage https://docs.ropensci.org/targets/ is for reproducible workflows and how powerful #mlr3 https://mlr3.mlr-org.com framework is for spatial machine learning with spatiotemporal cross-validation

🔍I stumbled upon rang #rpackage in a recent #rviews blog
by @posit_glimpse "Top 40" New #CRAN Packages! It's a fantastic tool for building dependency graphs of R packages at specific time points & creating #Docker Dockerfiles for containers: https://rviews.rstudio.com/2023/03/28/february-2023-top-40-new-cran-packages/ 👇🧵

📚Learn how to create #reproducible computational environments with rang #rpackage and #Apptainer / #Singularity in the readme: https://github.com/chainsawriot/rang/blob/v0.3/README.md#using-apptainersingularity-containers 👇🧵

🧵📢 Excited to share that I've added #Apptainer / #Singularity support to rang #rpackage for #reproducible #OpenScience! 🎉🔬 Check it out: https://github.com/chainsawriot/rang/ Huge thanks to
@chainsawriot for support & code review! 👇🧵

#rstats help needed!

Using #ggridges you can also color by quantile (see 1st Figure).

Our question is: How can you color - not by quantile - but by self-defined borders (e.g., for LIKERT data)? Please see the 2nd figure!

@dingemansemark

#openscience #opensciencefund #nwo #datascience #datavis #opensource #rstats #datavisualization #ggplot2 #rpackage #raincloudplots #github #programming #CRAN #rstudio #posit #scicomm #science #academia #academics #visualization #teamscience #statistics

New Quarto users: if you are building a personal website using
@quarto_pub
but don't know how to start; or if you want to make a workshop/course website with one click: give this new :rstats: package *qtwAcademic* a try! Feedback appreciated :blobcatderpy: 😊

#rstats #rpackage #quarto

https://github.com/andreaczhang/qtwAcademic/

New Quarto users: if you are building a personal website using
@quarto_pub
but don't know how to start; or if you want to make a workshop/course website with one click: give this new :rstats: package *qtwAcademic* a try! Feedback appreciated :blobcatderpy: 😊

#rstats #rpackage #quarto

https://github.com/andreaczhang/qtwAcademic/

Recently ran into a disturbing #ChatGPT result: I asked it to translate a #python function written by Mathieu Daëron (https://github.com/mdaeron/D47crunch) to #R, using the #tidyverse and a #tibble. I had done this manually for my #rpackage https://github.com/isoverse/clumpedr/ and wanted to see how they would compare.

It returned my code literally, including TODO notes, comments, and #roxygen skeleton. But it did not say where it got the code from, even when pressed. My R package is on #github under #GPL 3. Thoughts?

New #rpackage to explore #gedi data

"GEDI4R: an R package for NASA’s GEDI level 4 A data downloading, processing and visualization"

#EcoCountHelper: an #RPackage and analytical #pipeline for the analysis of #ecological #CountData using #GLMMs, and a case study of bats in Grant Teton National Park

"GLMM-based workflow that allows the user to:
- employ selection of distributional forms and zero-inflation
- examine models for goodness-of-fit
- interpret model results via
- compare the magnitude of predictor variable effects"

https://peerj.com/articles/14509/#