Save ggplot into a PDF file For example, to export ggplot2 graphs to a pdf file, the R code looks like this: # Create some plotslibrary(ggplot2) myplot1 <- ggplot(iris, aes(Sepal.Length, Sepal.Width)) + geom_po
In this section you will learn how to make and save a ggplot with transparent background. Solution 1: Use the function theme_transparent() [in ggpubr package]. First, install it with install.packages("ggpubr"), then type this: transparent.plot <- p + ggpubr::theme_transparent() ggsa...
The file path defaults to R’s working directory. Theggsave()function has options to control the size and resolution of the generated image. Example Code: ggsave("ggplotTransparentBGSampleImage.png") Output: It will save a file namedggplotTransparentBGSampleImage.pngto R’s working directory....
How to Export Your Plots Graph Your Data With Python and ggplot Martin Breuss 01:29 Mark as Completed Supporting Material Transcript Discussion 00:00 In this final lesson before the summary, I want to show you how you can export some of the graphs that you’ve created and save them ...
Learn more about running SQL queries in R by following theHow to Execute SQL Queries in Python and Rtutorial. It will teach you how to load databases and use SQL with dplyr and ggplot. Importing data from XML and HTML files Importing XML into R ...
The packageVersion() function allows you to query the version of a particular package. packageVersion("ggplot2") This function is helpful if you need information regarding a single package. 3. Checking with installed.packages() The installed.packages() function gives you a complete list of all...
ggsave("ggplot_garamond.pdf", p, width=3.5, height=3.5) Embedding fonts Extrafont uses GhostScript, a free PostScript interpreter, to embed the fonts. You'll need to make sure it's installed on your computer (note that GhostScript is not an R package). If you're using Windows, you'...
I consider ggplot2 to be nothing short of a revolution in R graphics. I simply haven't found anything like this package for quickly and elegantly producing usable graphics. I covered the quick and dirty basics of ggplot2 in a previous post. Now I...
You no longer have to worry about quoted and unquoted column names when using ggplot2, thanks to the latest version of the rlang package
BSgenome.Hsapiens.UCSC.hg38; GenomicRanges; SNPlocs.Hsapiens.dbSNP155.GRCh38; TxDb.Hsapiens.UCSC.hg38.knownGene; VariantAnnotation; VennDiagram; arrow; bigparallelr; bigsnpr; dplyr; dxdata; ggplot2; gprofiler2; grid; hexbin; parallel; readr; readxl; reticulate; scales; skimr; tidyr; tidyverse...