yes, the package {{ids}}
05.08.2025 12:45
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yes, the package {{ids}}
Output of dex_sentence function. "Elegant shellder uses wrap greedily" "Well-documented golbat uses lovely kiss sedately" "Old-fashioned gyarados uses disable cautiously" "Impressionable gastly uses lovely kiss scarily" "Tidy graveler uses amnesia questionably"
Output of dexid function "heavenly_tangela" "bite-sized_krabby" "frizzy_machamp" "impeccable_diglett" "firm_spearow" "delightful_ditto" "complete_golem" "weary_pidgeot" "winged_bellsprout" "realistic_machop"
Hex sticker of the R package dexid with showing a non existing pokemon that looks like a cross breed of charmander and eevee
If you are in need of memorable/human readable uuids, may I suggest {{dexid}}, an #rstats package that creates ids from adjectives and pokemons? 😀
We are currently developing a new interactive network viz package based on the JS engine G6. So many cool features to come! Checkout the current status on github github.com/cynkra/g6r #rstats
Super grateful to have received an R Consortium grant to keep working on improving igraph! Our goal is to work on the interface between the c core and the r package. To date it is still too tedious to integrate new features seamlessly. r-consortium.org/posts/r-cons... #rstats cc @masalmon.eu
A simple plumber api that reads and writes parquet files: # plumber.R library(plumber) library(nanoparquet) # To read Parquet files #* @apiTitle Parquet File Upload API #* Upload a Parquet file #* @param req:file The request object #* @post /upload_parquet function(req) { # Access the uploaded file from the request multipart <- mime::parse_multipart(req) fp <- multipart$file$datapath data <- nanoparquet::read_parquet(fp) resp <- data.frame( status = "success", n_rows = nrow(data), n_cols = ncol(data), columns = names(data) ) tmp <- tempfile(fileext = "parquet") nanoparquet::write_parquet(resp, tmp) on.exit(unlink(tmp)) readBin(tmp, "raw", n = file.info(tmp)$size) }
#Rstats hivemind: what is the correct way for a plumber API to read/write parquet files? I did not get `parser_parquet()` to work properly (and would rather have nanoparquet anyway) so this kind of works but I am unsure if thats ok 🙈
Merging an 8 year old PR must be some sort of record 😅
github.com/igraph/rigra...
@gvegayon.bsky.social sorry it took so long 😀
yieks sorry that got eaten by the char limit:
github.com/cynkra/rchro...
New version of rchroma is now available! The #Rstats pkg wraps the API of ChromaDB, an open-source AI-native database that makes it easy to store, search, and retrieve vector embeddings alongside metadata. Perfect for building RAGs!
It is now much easier to run the container and save db tables.
New post on the cynkra blog with @schochastics.net & Kirill Müller
"Setting up igraph for success in the next decade" ✨
Thanks to the R Consortium for supporting this project!
blog.cynkra.com/posts/2025-0...
#RStats
It is not a rigorous benchmark, but I was curious on how #duckdb duckplyr compares to other data wrangling packages in #Rstats. Turns out, it is pretty pretty fast 🚀.
blog post: blog.schochastics.net/posts/2025-0...
If you're an #RStats {igraph} user, please update your codebase according to deprecation messages. We try to make changes for the best. 😉
r.igraph.org/articles/cur...
cc @schochastics.net
screenshot of a document that contains links processed by url-peek
Not sure if this already exist, but I created a #quartopub filter which adds a domain preview to each link in a quarto html document. Might come in handy for accessibility.
📦 github.com/schochastics...
#rstats
Hex sticker of the R package rchroma showing a stylized icon of a database in chroma colors
@christophsax.bsky.social and I wrote an #rstats package for ChromaDB which is now available on CRAN🎉🎉🎉
ChromaDB is an open-source vector database designed for efficient similarity search—great for working with LLM applications like RAGs!
📦 github.com/cynkra/rchro...
Hex logo of the R package paperwizard showing a pixely wizard holding a newspaper
Here is the result of one of my last academic endeavors: Paperwizard, an #rstats package to extract readable content (such as news articles) from webpages using Readability.js
📦 github.com/schochastics...
📝 blog.schochastics.net/posts/2025-0...
Continuing the #Rust exploration in #RStats. Of course there is (r)polars to work with data frames in Rust but I was interested in how to create data frames "from scratch". Thanks to macros, it is actually pretty simple🙂
blog.schochastics.net/posts/2025-0...
Getting back on the #Rust train and how to use it in #RStats.
Currently I am trying to understand how to work with non-vector inputs and returns. I wrote down some experiments in a blog post
blog.schochastics.net/posts/2025-0...
Hey, #sna ppl! Submit your abstracts to Sunbelt 2025's "Tools and Data for Social Network Analysis" in Paris sunbelt2025.org (by Feb 20). We look for demos, sharing dev experiences, case studies, intros to SNA datasets, and more!
@schochastics.net
@franktakes.bsky.social
@zpneal.bsky.social
Screenshot of my profile with new job title: Data Scientist/DevOps Engineer at cynkra
New Year, new career. Yesterday was my last day as an academic. Now it is time for the "Real World".
A dashboard showing stats on my GitHub usage in 2024 Total Contributions: 1155 Repositories created: 37 Issues opened: 66 Pull requests: 36 Stargazed: 22 longest streak:79 days longest gap: 6 days active days: 239 Weekday: most contributions where made on a Monday (least on Saturday). Months: Most contributions were made in February (least in May)
Last year December I created my first #QuartoPub dashboard for a "GitHub Wrapped". Still works like a charm 😁 #rstats
github.com/schochastics...
code can be found here: https://github.com/schochastics/adventofcode/blob/main/2024/day07.R
#AdventofCode Day 07 in #Rstats
Yes this was again solvable with eval parse. Was that efficient? hell no! but doing left to right execution by inserting parentheses in a string is a 9000IQ move, I'd say
Rstats solution for Advent of code day 4. Code can be found here: https://github.com/schochastics/adventofcode/blob/main/2024/day04.R
#AdventofCode Day 04 in #Rstats
Me leaving has nothing to do with the position I had, but just with academia in general. I am tired of it. Now it is time for a completely new chapter and I am super excited that this new chapter is gonna be full time #rstats at cynkra 😍 (2/2)
Not sure how many #academics are following me here, but here is a great opportunity to lead an awesome team of people in CSS at GESIS.
This is actually my position, because I will be leaving academia at the end of the year (1/2)
![AdventOfCode Day 03 Solution with RStats
input <- paste0(readLines("input03.txt"), collapse = "")
mul <- `*`
mul_str <- unlist(stringr::str_extract_all(input, "mul\\([0-9]+,[0-9]+\\)"))
sum(vapply(mul_str, \(x) eval(parse(text = x)), numeric(1)))
input <- paste0("do()", input, "don't()")
matches <- paste0(stringr::str_extract_all(input, "(?<=do\\(\\))(.*?)(?=don't\\(\\))")[[1]], collapse = "")
mul_str <- unlist(stringr::str_extract_all(matches, "mul\\([0-9]+,[0-9]+\\)"))
sum(vapply(mul_str, \(x) eval(parse(text = x)), numeric(1)))](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:sv2aevfp7olu6ch7wq2nmgmi/bafkreibtnhwlphoe6mtwxdq7hpisi4zj2nss3lyorrqcwo7lvzzvnxunuy)
AdventOfCode Day 03 Solution with RStats input <- paste0(readLines("input03.txt"), collapse = "") mul <- `*` mul_str <- unlist(stringr::str_extract_all(input, "mul\\([0-9]+,[0-9]+\\)")) sum(vapply(mul_str, \(x) eval(parse(text = x)), numeric(1))) input <- paste0("do()", input, "don't()") matches <- paste0(stringr::str_extract_all(input, "(?<=do\\(\\))(.*?)(?=don't\\(\\))")[[1]], collapse = "") mul_str <- unlist(stringr::str_extract_all(matches, "mul\\([0-9]+,[0-9]+\\)")) sum(vapply(mul_str, \(x) eval(parse(text = x)), numeric(1)))
Starting #AdventOfCode on Day 03 with #RStats 🙂
I think it took me like a second to scream EVAL PARSE!!!
One of my favorite concepts in R 😆
(my solutions can be found here: github.com/schochastics...)
The #QuartoPub extension to add "share on social media" buttons now also supports bluesky 🎉 #rstats
link: github.com/schochastics...
The Bundeslig League table after 10 games with a retro look created with the R package gt
I tried to get a hang gt for so long and now I finally sat down and did it. It always felt cumbersome to me but I have to say it is quite easy to use once you get into it #Rstats
📜 writeup blog.schochastics.net/posts/2024-1...
Hello #rstats, giving this side another try🤗. To kick it off, here is a great fashion item. A t shirt made out of more than 2000 hexstickers 😅
here is the making of and how you can make one yourself: blog.schochastics.net/posts/2024-1...
Excited to announce the book project "R 4 Social Network Analysis". @termehs.bsky.social and I decided to write an open access introductory book for conducting Social Network Analysis in #Rstats.
Blog Post: blog.schochastics.net/posts/2024-0...
book (WIP): schochastics.github.io/R4SNA/
ggraph 2.2.0 is out🎉🎉
Now with stronger support for spatial networks and various edge bundling techniques #rstats
Let some science communication be my first post here:
New paper out on my evergreen topic network centrality with @termehs.bsky.social
We assess how tough it is to reliably explain correlations among indices.
www.sciencedirect.com/science/arti...
#networkscience
