Tessera

sayuks

@sayuks.bsky.social

Dirk Eddelbuettel @eddelbuettel.com · 11mo ago

duckdb-mlpack 0.0.2: mlpack is now a duckdb community extension Bringing mlpack machine learning to duckdb SQL dirk.eddelbuettel.com/blog/2025/10...

Screenshot of blog post at https://dirk.eddelbuettel.com/blog/2025/10/26#duckdb-mlpack_0.0.2 announcing that mlpack is now a duckdb community extension

Corey Sparks @coreysparks1.bsky.social · last yr.

ok, dumb #rstats question. I'm using #quarto and i want to print some inline R code in my HTML report, but I DON'T want it to actually run the code I want it to be like this in the report: `r mean(1:10)`

Ella Kaye @ellakaye.co.uk · last yr.

Once again, @davisvaughan.bsky.social's extrachecks have saved me from a likely CRAN rejection for an upcoming #RStats package submission. Thanks Davis! github.com/DavisVaughan...

GitHub - DavisVaughan/extrachecks

Contribute to DavisVaughan/extrachecks development by creating an account on GitHub.

github.com

James Balamuta @coatless.bsky.social · last yr.

Prototyping #rshiny apps to native #electron desktop apps: shinyelectron::export() → #rshinylive conversion → .dmg → Native Mac app Zero #rstats dependencies for end users! Early days but promising 👀

Yuta Kanzawa @yutakanzawa.bsky.social · last yr.

先程の #TokyoR の初心者セッションのスライドです。ご査収下さい。 R & RStudio入門 ytknzw.github.io/TokyoR/%E5%8... データハンドリング ytknzw.github.io/TokyoR/%E5%8... データ可視化 ytknzw.github.io/TokyoR/%E5%8...

ytknzw.github.io

Marc Dotson @marcdotson.com · last yr.

There are a lot of introductions to Python, but this one is mine. It includes a walkthrough of using uv for environment management, Polars for data wrangling, seaborn.objects for visualization, and scikit-learn for modeling. #rstats #python #pydata

An introduction to Python for R users – Occasional Divergences

This introduction to Python assumes you know R, which is used as an analogy to explain Python for data analysis.

occasionaldivergences.com

Sharon Machlis @smachlis.bsky.social · last yr.

The {listviewerlite} #RStats 📦 "provides a single function listview(), which creates a collapsible tree view of R lists using only HTML and CSS, without the need for JavaScript." On GitHub. By Long Nguyen long39ng.github.io/l...

gif shows clicks to open a 'tree' view of a list with child branches

Sharon Machlis @smachlis.bsky.social · last yr.

Rainy day here, so I'm using #GenerativeAI to help teach me more about @kylewalker.bsky.social 's cool {mapgl} #RStats 📦 . And it's been pretty fun so far 😀 1/3

Instead of starting with data and aesthetics, mapgl thinks like this:

Map canvas first - you create a base map (like a Google Maps background)
Add data as "sources" - your sf objects become data sources
Add "layers" that reference those sources - these are like geoms but work differently
Style with expressions - not aesthetics, but JavaScript-style expressions

This is more like how a web developer builds an interactive map, which is why it's so powerful for complex visualizations.
Before I show you the syntax, let me test your intuition: If you had to guess, how do you think you'd start building a mapgl map differently than a ggplot? What do you think comes first - the data or something else?
And here's a follow-up: Given that mapgl creates interactive web maps, what do you think might be the equivalent of choosing your x and y variables in ggplot2?

Mattan S. Ben-Shachar @mattansb.msbstats.info · 2y ago

When awesome packages come together 💥 #rstats

Peter Dalgaard @pdalgd.bsky.social · last yr.

A fairly clean way is to make a pkglist of the installed.packages() that are not Priority "base" or "recommended", store it somewhere, then install.packages(pkglist) after upgrading.

Andrew Heiss @andrew.heiss.phd · last yr.

Here it is with real data! A map of 550,000 foreign aid projects in just a few lines of #rstats code

library(tidyverse)
library(sf)
library(rnaturalearth)
library(here)

# GODAD data from https://godad.uni-goettingen.de/data/
project_level <- read_csv(
unz(
here("data", "data-raw", "GODAD.csv.zip"),
"projectlevel_china_wb.csv"
)
)

world <- ne_countries(scale = 110, type = "map_units") |>
filter(admin != "Antarctica")

projects <- project_level |>
st_as_sf(coords = c("longitude", "latitude"), crs = st_crs("EPSG:4326"))

ggplot() +
geom_sf(data = world) +
geom_sf(data = projects, size = 0.01, alpha = 0.05) +
theme_void()

Andrew Heiss@andrew.heiss.phd · last yr.

Thing I just learned in #rstats: unz() lets you connect to a .zip and load files from inside it without actually unzipping it (great for a file I'm working with that's 30 MB zipped and 1+ GB unzipped, with multiple CSVs in it)

# unz() lets you connect to a .zip and treat it like a mini file system,
# and you can load files from inside it
one_zipped_csv_among_others <- readr::read_csv(
unz("lotsa_zipped_csvs.zip"), "one_csv.csv"
)

# readr::read_csv() can read a .zip with a single CSV in it
one_zipped_csv <- readr::read_csv("big_zipped_file.zip")

Alex Coppock @aecoppock.bsky.social · last yr.

New visualization tool alert! The vayr package version 1.0.0 is now on CRAN. It contains position adjustments for ggplot2 that help with overplotting in pleasing ways. My favorite is position_sunflower(). - install.packages("vayr") - alexandercoppock.com/vayr #rstats #ggplot2 #dataviz

sayuks @sayuks.bsky.social · last yr.

I created an R package that makes it easy to create Tabsets in Quarto. sayuks.github.io/quartabs/ #rstats #quarto

quartabs

sayuks.github.io

Nick Tierney @njtierney.bsky.social · 2y ago

I mostly structure new projects as targets - code that get reused gets spun into a pkg. The targets structure looks like Miles’s {tflow} design: github.com/njtierney/de... At the other end of complexity, here are 2 larger projects: github.com/njtierney/tt... And github.com/idem-lab/map...

GitHub - njtierney/demo-geotargets

Contribute to njtierney/demo-geotargets development by creating an account on GitHub.

github.com

Hadley Wickham @hadley.nz · 2y ago

What advice do folks have for organising projects that will be deployed to production? How do you organise your directories? What do you do if you're deploying multiple "things" (e.g. an app and an api) from the same project?

Nicola Rennie @nrennie.bsky.social · 2y ago

Now updated with more resources, and the ability to search and filter by different categories! Link: nrennie.rbind.io/data-science... #RStats #DataScience

Screenshot of data science resources website with a drop down menu for type, and search boxes for other columns.

Nicola Rennie@nrennie.bsky.social · 2y ago

I've recently started compiling a list of data science related resources that I use or recommend frequently! 📊 Link: nrennie.rbind.io/data-science... #RStats #Python #DataViz #DataScience

Screenshot of the Data Science resources website showing a list of blogs at the top of the site.