#cowplot
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ryanmcshane.bsky.social
😂

Maybe CowCowGo would be more to your liking?

- signed, frequent cowplot and DuckDuckgo user
May 22, 2026 at 1:27 AM
datascienceplus.bsky.social
Metro Systems Over Time: Part 3

#rstats
Metro Systems Over Time: Part 3
Note, at the time this writing the package gganimate requires the package cowplot. Be sure to install and load the package before continuing. install.packages("cowplot") library(cowplot) Introduction In Part 1 and…
datascienceplus.com
September 25, 2026 at 2:00 PM
owasow.bsky.social
Missed opportunity wilkelab.org/cowplot/arti...
Introduction to cowplot
wilkelab.org
January 29, 2026 at 1:02 AM
tanyashapiro.bsky.social
which opens up other ggplotsibilities... like interactive legends on hover.

below a trick with {cowplot} + {ggiraph}

but is the juice worth the squeeze? IMO maybe not, i'd probably opt for straight up JS 😊
December 16, 2024 at 10:53 PM
cmacquar.bsky.social
Just because you can do something in cowplot doesn't mean you should....
johnprensner.bsky.social John Prensner @johnprensner.bsky.social · Dec 17
Wow this is a seriously serious supplementary figure from @cellpress.bsky.social today. Panels A through UU.

I get that Cell likes to minimize the number of supplementary figures. But is this really what is happening here?

www.cell.com/cell/fulltex...
Figure S7 with panels A through UU
December 18, 2025 at 12:16 PM
cararthompson.bsky.social
TLDR: the elegant solution is to create a function which grabs the background theme information and applies it to a new plot output using {cowplot}.

Feel free to reuse it!
Code snippet: fix_background <- function(my_plot) { cowplot::plot_grid(my_plot + theme(plot.background = element_blank())) + theme(plot.background = my_plot$theme$plot.background) }
March 7, 2025 at 11:05 AM
tiddlydump.bsky.social
I used to be a {cowplot} guy, but {patchwork} suits my needs more often

<3 open source devs
July 16, 2025 at 8:20 PM
andrew.heiss.phd
Graphic design-wise, I've found {patchwork} to be the best of the plot-combining packages because it actually keeps similar elements aligned across the multiple plots! #rstats #dataviz
Two side-by-side plots that align nicely with each other Two side-by-side plots that don't align with each other R code for generating the plots: library(tidyverse) library(patchwork) p1 <- ggplot(mpg, aes(x = displ, y = hwy, color = class)) + geom_point() + labs(title = "Here's a title", subtitle = "And a subtitle", x = NULL) p2 <- ggplot(mpg, aes(x = hwy)) + geom_density() # patchwork p1 | p2 # gridExtra gridExtra::grid.arrange(p1, p2, nrow = 1) # cowplot cowplot::plot_grid(p1, p2)
October 21, 2024 at 5:34 PM
avahoffman.com
Shoutout to the true mvp of every scientific manuscript: `cowplot::plot_grid()` #rstats
September 11, 2025 at 5:32 PM
rladies-bot.bsky.social
📝 "Fixing awkward backgrounds in ggplot2"

👤 Cara Thompson (@cararthompson.bsky.social)

📖 Fix ugly ggplot2 backgrounds! Elegant {cowplot} solution inside.

🔗 https://www.cararthompson.com/posts/2025-03-06-fixing-awkward-backgrounds-in-ggplot/

#rladies#rstats#codingtips#ggplot2
March 28, 2025 at 7:20 AM
nrennie.bsky.social
For the first #TidyTuesday of 2025 (bring your own data!), I'm taking a look at the talks and workshops I delivered in 2024. Lot's of #RStats and #DataViz sessions in there!

📊 Timeline scatter plot with #ggplot2
✍️ Annotations with {cowplot}
➡️ Arrows with {grid}

Code: https://buff.ly/42jHQjN
Timeline plot showing talks and workshops I delivered during 2024, with at least one every month except August. Colours highlight topic with many R and Data Visualisation workshops.
January 6, 2025 at 5:16 PM
klauswiese.bsky.social
Día 4 – Mis Datos #30DayMapChallenge. Catasetum integerrimum en Tegucigalpa, Honduras. Herramientas: R con los paquetes sf, ggplot2, osmdata, dplyr, showtext, ggtext, ggimage, grid y cowplot.
November 4, 2025 at 4:08 AM
eazadpour.bsky.social
💧 New blog post! Learn how to create mini inset-style maps in #rstats using #purrr, #ggplot2, and #cowplot.

Featuring SUI data from USGS, with examples at the national watershed scale and in the Great Basin.

🔗 waterdata.usgs.gov/blog/nwdc-in...

#DataViz #WaterData #OpenScience
April 20, 2026 at 3:41 PM
bbolker.bsky.social
alternatively `cowplot::plot_grid(plotlist = ...)` ?
May 4, 2026 at 5:23 PM
klauswiese.bsky.social
Day 20 | Timeseries – Urbanization | #30DayChartChallenge. Visualization made with R using #ggplot2, #sf, #dplyr, #scales, #grid, #ggshadow, #extrafont and #cowplot. | Source: Worldometers
April 20, 2025 at 3:33 PM
nrennie.bsky.social
This week's #TidyTuesday data is about salmon mortality 🐟 in Norway

📊 Small multiple line charts show each region
🔍 Larger chart explains how to read
🧩 Arranged using {ggh4x} with {cowplot} for annotations

#RStats #DataViz #ggplot2
Small multiple line charts with shaded intervals showing salmon mortality in different regions of Norway. A larger version of the chart on the left gives an explanation of how to read the chart, and shows the data for Norway as a whole. A seasonal pattern, peaking in March is shown.
March 17, 2026 at 8:28 PM
cacioppoj.bsky.social
Day 13 of the #30DayChartChallenge - Clusters

Looking at the heights vs spread of Missouri native plants 🌿

I tried out using #rstats {ggh4x} and {cowplot} packages to fill the empty facet with text.
Plot showing height vs spread of Missouri native plants. The clusters of points show the different plant types (flowers, grasses, shrubs, vines, and trees).
April 13, 2025 at 8:22 PM
nrennie.bsky.social
For this week's #TidyTuesday data on sea bird sightings, there was an obvious choice for which type of bird to focus on - penguins! 🐧

📊 Bubble timeline made with #RStats
🎨 Colours inspired by {palmerpenguins}
📝 Annotations added with {cowplot}

#DataViz #ggplot2
Timeline bubble chart showing observations of different penguin types off the coast of New Zealand from 1969 to 1990. Adelia, Emperor, and Fiordland crested have only been seen a few times, but there are regular sightings of Little penguins.
April 14, 2026 at 8:19 AM
klauswiese.bsky.social
#Día21 | Series de Tiempo – Histórico | #30DayChartChallenge | Precio histórico del café y cacao. Creada usando #Rstats con #quantmod, #ggplot2, #dplyr, #scales, #ggtext, #patchwork, #magick y #cowplot.
April 21, 2026 at 8:30 PM
sastoudt.bsky.social
The align features of #cowplot just saved me (thanks a million @clauswilke.com)! See the capabilities for yourself:
wilkelab.org/cowplot/arti...
Arrange multiple plots into a grid — plot_grid
Arrange multiple plots into a grid.
wilkelab.org
May 28, 2026 at 6:10 PM
cacioppoj.bsky.social
Day 22 of the #30DayChartChallenge - Stars 🌟

Daily hours of sunlight ☀️ for places at different latitudes

Made with #rstats {ggHoriPlot} for the horizon plot and {cowplot} to assemble the pieces
The horizon plot shows the total hours of sunlight per day for several locations. Sunlight per day varies greatly closer to the poles, where days can have 0 hours to 24 hours of sunlight. Near the equator, the days have around 12 hours of sunlight all year. The brighter areas have more daily sunlight and the darker areas have less.
April 23, 2025 at 5:09 AM
dnakendra.bsky.social
Ah cowplot. Don't use that but seems like i should
February 11, 2024 at 10:54 AM
klboles.bsky.social
Yes! facet_wrap for ggplot or could also check out cowplot.
September 30, 2023 at 2:53 AM
weare.rladies.org
What #rstats 📦 keep an ID modeller going?

🦠 Epi & Modeling: EpiEstim, EpiNow2, deSolve
📈 Stats: stats, brms, mgcv
📊 #Dataviz: ggplot2, cowplot
📂 Docs: rmarkdown, @quarto.org, roxygen2
🔄 Wrangling: dplyr, lubridate, tidyr
🛠️ Dev: devtools, usethis

What are YOUR essential 📦? 🚀

#IDSky #EpiSky
February 6, 2025 at 8:31 AM
mikipe.bsky.social
Paso 3: Ejecución y Ensamblaje. 🪄 Usé la IA (Nano Banana) con un prompt estricto de colores para renderizar mi boceto. Finalmente, ensamblé el lienzo base y los datos precisos en R con {cowplot} y transparencias. #Day24
April 24, 2026 at 8:58 AM