Latest posts tagged with #rstats on Bluesky
About a 5 year (female) and 6 year (male) gap over the data range
#30DayChartChallenge 2026 – day 09- Distributions | Wealth. Tool: #rstats
Life expectancy in AoNZ by deprivation quintile. The easiest explanation of deprivation index is it is how well off is the neighbourhood of residence of the person.
For this week's #TidyTuesday we looked at data from repair shops provided by the Repair Monitor 🛠️
💻 Code is on GitHub: github.com/josefinabern...
#RStats #RLadies #DataViz
New CRAN package VizModules with initial version 0.1.1
#rstats
https://cran.r-project.org/package=VizModules
New CRAN package drmeta with initial version 0.1.0
#rstats
https://cran.r-project.org/package=drmeta
Repair Cafes Worldwide for #TidyTuesday, wk 14.
Philip Iron Box brand is definitely a lifetime asset.
#Rstats #Dataviz #ggplot2
Alright, Positron's data viewer has me sold—this is legitimately better than RStudio. The nice continuous/ordinal histograms and missing value percentages are actually quite helpful and have already replaced a lot of ... |> pull() |> hist() type workflows I used to use
#RStats
Hands-On Time Series Analysis with R by Rami Krispin
#RStats
bigbookofr.com/chapters/time%20series%2...
1-day online course May 11: Intro to R/RStudio & an efficient comprehensive R workflow, introducing the R rms package, enhancing regression analysis skills to be ready for the RMS 4-day course. Details and registration at hbiostat.org/course @amstatnews.bsky.social @instats.bsky.social #RStats
library(tidyplots) pca |> tidyplot(x = pc1, y = pc2, color = group) |> add_data_points() |> add_ellipse()
This is how you can add normal data ellipses in #tidyplots 🐣
#rstats #dataviz #phd
Want to an easy way to learn web scraping? 🤖
Check out this new tutorial on Selenium in R.
It covers how to automate web browsers to collect data from dynamic websites ➡️ firsa.eu/posts/rselen...
#RStats #RSelenium #WebScraping #DataScience
Shout out to @kellybodwin.com – a wonderful #rstats teacher, collaborator, and statistician.
🚀 Interested in #SpatialOmics? Want to learn how to analyze #SpatialOmics data using R and @bioconductor.bsky.social?
There are still a few seats left for our online course with @stemang.bsky.social in May!
📅 Don’t miss out: shorturl.at/1FUCP
#Bioinformatics #RStats #Bioconductor
#TIL about an #RStats package made by a cool group from Univesity of #Chile to deal with #ICD10 and #ICD11 in #PublicHealth and #HealthInteroperability work:
github.com/RodoTasso/ci...
#Health #DataScience
New CRAN package weightedVoronoi with initial version 1.1.1
#rstats
https://cran.r-project.org/package=weightedVoronoi
New CRAN package sparsecommunity with initial version 0.1.1
#rstats
https://cran.r-project.org/package=sparsecommunity
New CRAN package sparqlr with initial version 0.1.0
#rstats
https://cran.r-project.org/package=sparqlr
New CRAN package smimodel with initial version 0.1.3
#rstats
https://cran.r-project.org/package=smimodel
New CRAN package Nestimate with initial version 0.3.0
#rstats
https://cran.r-project.org/package=Nestimate
Looking to improve your #Rstats skills? Join Andrew Miles, May 6-8 for "Essential R Skills for Intermediate Users." This hands-on course will help you write cleaner code, debug, create functions, & streamline your research—plus learn practical ways to use LLMs for common R tasks.
A radial bar chart titled "Uppsala's bus clock" with the subtitle "Departures per hour, weekday vs weekend." Hours of the day (0:00 to 23:00) are arranged clockwise around a circle. For each hour, two bars extend outward: orange for weekday and blue for weekend departures. Weekday bars are substantially longer, peaking at 7:00 with 3,145 average departures, with a second peak at 15:00 (3,120). The overnight trough bottoms out at 2:00 with 56 departures. Weekend bars are much shorter and more evenly distributed, peaking mid-morning around 10:00–11:00 with around 680 departures and dropping to 56 at 4:00. Source: UL GTFS data, 4–30 April 2026.
#day8 of #30DayChartChallenge, Circular
code: github.com/gkaramanis/3...
#RStats #dataviz
#30DayChartChallenge Day 5 : Experimental
Important insights from the Emoji Mashup Bot @emojimashupbot.bsky.social
It posts a mashup every 2 hours
What are the best emojis for mashups, in terms of likes and reposts?
Out of 6000 posts, we have a clear winner 🥇
#Rstats #dataviz
Positron plus JupyterHub logo, with the Posit logo in the corner.
We are thrilled to announce that Positron Server is now available for academic use via JupyterHub!
This gives students a robust #RStats & #Python data science IDE without needing a local install or new infrastructure.
Learn more: positron.posit.co/blog/posts/2...
CRAN updates: epiR #rstats
New CRAN package integrity with initial version 1.0
#rstats
https://cran.r-project.org/package=integrity
Data Visualization - A practical introduction by Kieran Healy
#RStats
bigbookofr.com/chapters/data%20visualiz...
Radial bar chart titled "When Does India Get Its Rain?" on a dark background. Twelve months arranged clockwise. Four colour-coded grouped bars per month show average rainfall for Assam & Meghalaya (purple), Kerala (green), Tamil Nadu (orange), Rajasthan (pink). Kerala's June bar is tallest at 630mm, followed by Assam & Meghalaya July at 516mm. Tamil Nadu peaks in November (179mm) during the northeast monsoon, contrasting with other regions peaking Jun–Aug. Rajasthan's bars are barely visible, peaking at 165mm in July. Green and red background wedges mark SW monsoon (Jun–Sep) and NE monsoon (Oct–Dec). Dashed reference rings at 100–600mm. Data: IMD 1971–2017 averages via data.gov.in.
Day 08 #30DayChartChallenge — Circular
Kerala gets 630mm in June alone. Rajasthan gets 478mm the entire year.
Radial bar chart: 4 IMD subdivisions, monthly rainfall, SW vs NE monsoon contrast.
Data: IMD via data.gov.in (1971–2017 avg)
Built with R + ggplot2
#DataViz #RStats
CRAN updates: rJava #rstats
