Screenshot illustrating the use of patchwork to align two different ggplot plots. It shows a coverage plot in the upper part of it and, in the lower part, the structure of the transcripts for which the RNA seq data were obtained.

#cowplot is a great package to combine #ggplot2 plots for publications. #patchwork is an alternative that better manages alignment of the plot axes. For example, adding an independent annotation plot (#ggtranscript) to a genome coverage RNA seq plot […]

[Original post on framapiaf.org]

Day 20 | Timeseries – Urbanization | #30DayChartChallenge. Visualization made with R using #ggplot2, #sf, #dplyr, #scales, #grid, #ggshadow, #extrafont and #cowplot. | Source: Worldometers

Día 11 | Distribuciones – “Stripes” | #30DayChartChallenge. La visualización fue creada usando R basado en los paquetes: #ggplot2, #dplyr, #sf, #lubridate, #ggtext, #showtext, #RcolorBrewer, #rnaturalearth y #cowplot. Fuente: CHIRPS.

Day 10 | Distributions / Multi – Modal | #30DayChartChallenge. Visualization made with R using #ggplot2, #tidyverse, #cowplot, #stars, #raster, #ggspatial and #sf. Data source: Sentinel-2 MSI (2024)

Plot time! From a DIF analysis in an in-progress manuscript - #ggrepel and #cowplot are just wonderful tools.

My #tidytuesday 04|2020 contribution: Spotify Audio Features per Genre & Subgenre🎶inspired by petal charts from @watzoever and @jakekaupp #rstats #cowplot

Code: https://github.com/spren9er/tidytuesday