10 tips for making your R graphics look their best. So you've spent hours slaving over the code for a beautiful statistical graphic in R, and now you're ready to show it to the world.
You might be printing it, embedding it in a document, or displaying it on the web. Don't do your graph a disservice by causing it to look anything less than perfect in its final venue. Here are 10 tips to help make sure your graphic will always look best. 1. Call the right device driver from a script It's tempting to just create graphics to the on-screen device (such as X11 on Linux or Quartz on MacOS) and then just use "Save As... " from the menu. The best practice is to create a script file that begins with a call to the device driver (usually pdf or png), runs the graphics commands, and then finishes with a call to dev.off().
Png(file="mygraphic.png",width=400,height=350)plot(x=rnorm(10),y=rnorm(10),main="example")dev.off() 2. If you plan to print your graphic, you want to use a vector-based format. 3. 4. 5. For PNG graphs, it's a bit tricker. R Programming/Graphics. R includes at least three graphical systems, the standard graphics package, the lattice package for Trellis graphs[1] and the grammar-of-graphics ggplot2 package[2].
R has good graphical capabilities but there are some alternatives like gnuplot. Interactive Graphics[edit] This section discuss some ways to draw graphics without using R scripts. The playwith package provides a graphical user interface to customize the graphs, add a title, a grid, some text, etc and it exports the R code you need if you want to replicate the analysis[3]. If you want to know more, you can have a look at the screenshots on the website (link). Library("playwith") playwith(plot(x1)) There is also a graphical user interface GrapheR which makes it very easy to draw graphs for beginners[4]. Latticist (link) is another similar project. Note also that some graphical user interface such as RKward and R Commander makes it easy to draw graphs. Standard R graphs[edit] plot() is the main function for graphics.
Titles[edit] ? ? ? Creating publication quality graphs in R. Prototype: More Web-Friendly Visualizations in R « TechPolicy.ca. I've spent some more time thinking about how best to put together the package for creating web-friendly, interactive data visualizations in R.
I have a pretty substantial JavaScript package that does a lot of basic visualizations now, and it's really exciting to see where this is going. With this in mind, I'm releasing a new version of the R package prototype I keep discussing in this blog. A few examples of the visualizations are shown below, along with the necessary R code to get them to display. Note that these are embedded into the blog, I did so through the use of an inline frame. The code below will generate a basic scatterplot. x = rnorm(30) y = rnorm(30) wv.plot(x, y, "~/Desktop/scatterplot", height=300, width=300, xlim=c(-2.5,2.5), ylim=c(-2.5,2.5), xbreaks=c(0), ybreaks=c(0)) Supposing you want to have a scatterplot with multiple point types and a line.
X = rnorm(30); y = rnorm(30); z = runif(30); wv.open("~/Desktop/plot3/", height=300, width=300); wv.close(); x = c(2.5, 7, 11); Basic Graphs. Producing Simple Graphs with R. Not Just Normal… Gaussian. Category:Created with R. From Wikimedia Commons, the free media repository If you : Subcategories This category has the following 2 subcategories, out of 2 total.
