Stephen Turner stephenturner

Summary

Produced with claude-3-5-sonnet-20241022

Here's a summary of the top #rstats posts on Bluesky from the past week:

Key Announcements and News:

Posit (formerly RStudio) joined the Open Source Pledge, committing $2000/year per developer to support open source software
The RStudio IDE and Posit Workbench received a major update with Positron Pro support
useR 2025 will be held at Duke University in August 2024

Summary

Produced with llama3.3

This appears to be a compilation of social media posts from various individuals in the data science and R programming communities. Here are some observations and insights:

Common themes:

R programming: Many posts mention R, indicating its widespread use in data analysis and visualization.
Data visualization: Several posts share visualizations created using R libraries like ggplot2, reactable, and others.

Summary

Produced with mistral

Nicola Peltz has a new post about using regex in R, breaking down the process with song lyrics as examples to help readers understand pattern matching and quantifiers. (Source: Data Elixir) #rstats
Andrew Ba Tran, data journalist at Washington Post, is planning to analyze the boarding school data recently released by their organization in a live stream with exploratory data visualizations. (Source: Andrew Ba Tran) #rstats
Kasia Banas, who is new to regex, completed a crash course and used the skills to solve the Day 3 Advent of Code challenge in R. (Source: Kasia Banas) #adventofcode
John MacKinton shares an example of data in a challenging format with various inconsistencies, but notes that one single function in R can handle it all. (Source: John MacKintosh) [#rstats](https://twitter.com/hashtag/rstats?src=ha

Summary

Produced with gemma2

This looks like a collection of posts from data scientists and R enthusiasts on the social platform "Bsky". Let's break down what we see:

Key Themes:

R Programming: The most prevalent theme is R programming itself. Users are discussing tips, tools, problems, and solutions within the R ecosystem.
Data Visualization & Analysis: Many posts showcase projects or techniques using R for data visualization and analysis.

	# Get top Bluesky posts for #Rstats ---------------------------------------

	library(dplyr)
	library(glue)
	library(atrrr)
	library(ellmer)

	# authenticate to bluesky using vars in ~/.Rprofile
	# or do this interactively with just `auth()`
	auth(user = Sys.getenv("BSKY_USER"),

	################################################################################
	# GCP/AWS setup script for general bioinformatics
	# Base image: Ubuntu 22.04 LTS x86/64
	################################################################################

	# Make a directory in which to build stuff
	sudo mkdir -p ${HOME}/build && sudo chmod 777 ${HOME}/build && cd ${HOME}/build

	# Install system libs
	sudo apt-get update

	library(tidyverse)
	library(rvest)
	library(tidytext)

	## Function to get full text given a DOI
	get_full_text <- function(doi) {
	paste0("https://www.biorxiv.org/content/", doi, ".full") \|>
	rvest::read_html() \|>
	rvest::html_nodes("div.section") \|>
	rvest::html_text() \|>

	library(tidyverse)
	library(httr2)

	# Set URL path variables
	url <- "https://api.biorxiv.org/"
	what <- "details"
	server <- "biorxiv"
	date1 <- "2014-01-01"
	date2 <- "2023-12-31"

	# Get / clean data ----
	library(tidyverse)
	library(httr2)

	# Set URL path variables
	url <- "https://api.biorxiv.org/"
	what <- "details"
	server <- "biorxiv"
	date1 <- "2014-01-01"
	date2 <- "2023-12-31"

	// Place your key bindings in this file to overwrite the defaults
	[
	// RStudio: Copy lines up/down with alt+cmd+up/down
	{
	"key": "alt+cmd+down",
	"command": "editor.action.copyLinesDownAction",
	"when": "editorTextFocus && !editorReadonly"
	},
	{
	"key": "shift+alt+down",