- #R studio ggplot print name on image how to
- #R studio ggplot print name on image install
- #R studio ggplot print name on image code
# /Users/andrew/Sites/ath-quarto/renv/library/R-4.3/aarch64-apple-darwin20 # ! package * version date (UTC) lib source # pandoc 3.1.1 /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown) Theme( = element_line(color = "black"),Ī = element_line(color = "black")) Theme(panel.background = element_rect(fill = "white"))+ You can adjust the size of the marker by changing size = 0.15 and get rid of the gray background (and add axes) with: ggplot(data = bees, aes(x = distance, y = number)) + Geom_image(aes(image = image), size = 0.15) +
#R studio ggplot print name on image code
Now edit your graph code again by removing the geom_point() and adding a geom_image() instead like this: ggplot(data = bees, aes(x = distance, y = number)) + We don’t have to explicitly read the image in because the ggimage package we loaded takes care of that. This adds a column called image to the dataframe called bees. To use bees as markers we need to add the bee image file name to every row of the data frame: bees$image <- "bee.png" Make sure you put the annotation_custom() before the geom_point() but don’t worry too much about what the other bits mean. Then we can edit the code with a annotation_custom() to add the background image: ggplot(data = bees, aes(x = distance, y = number)) + We need to read in the background file: img <- readPNG("comb.png") You do not need to re-run the first lines of code, just select the new lines and click run:Ī simple default can be obtained with: ggplot(data = bees, aes(x = distance, y = number)) +Įdit that code to add information about the axis labels and axis limits ggplot(data = bees, aes(x = distance, y = number)) +
To put these data in to a dataframe in R add this code to your script bees <- ame(distance = c(0.5, 1, 1.5, 2, 2.5, 3), I am going to plot the number of bees arriving within one hour at food sources placed at different distances from the hive. Make the packages available for use in this Rstudio session by adding this code to your script and running it. When everything is finished, you are ready to start coding! 3.
#R studio ggplot print name on image install
Rstudio may need to install additional packages. If you are on your own computer you will need to install them.Ĭlick the install button and write the package names in the box to install them. If your images files are jpeg: ggplot2, jpeg, grid, ggimage.Īll these are already installed for biologists at the University of York.
If your images files are png like mine: ggplot2, png, grid, ggimage. There are several packages you will need.
Start RStudio and set your working directory to the folder you created: The important thing is to save the images in to the folder you just created. You don’t want very high resolution images for the sake of speed but otherwise the size doesn’t matter. You can use the same ones or use choose your own favourite images – try googling “public domain images”. The first thing you want to do is make a folder on your computer in which the code you write and your images will live. I’ll also be using ggplot2 rather than base R. I will assume you have Rstudio installed and have at least a little experience with it but I’m aiming to make this do-able for beginners.
#R studio ggplot print name on image how to
Now I’m going to show you how to plot some data using one image as a marker and a different one for the back ground! I recently wrote this post which included this R-generated plot: Any work you do with code at all, will build your confidence, experience and skills. It doesn’t matter how small and trivial the result of the code is, or even how much of it you wrote yourself.
One of the things I always try to stress to those I am teaching is that it matters very much less what you do than that do you it. I feel passionately that anyone can learn some coding but many feel they lack natural aptitude for it.
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