Fortunately, someone else has already solved this problem using a really excellent function called mutliplot. One thing that I found challenging about ggplot is that it doesn’t integrate will with the usual function for tiling multiple graphs, par(). You can also access R cheatsheets on ggplot2 and other topics in RStudio directly by going to the Help menu and scrolling down to the “cheatsheets” tab (see screenshot below). There are some graphs I had never even heard of but now find really helpful. Even if you aren’t an R user, I think the breakdown of graph types by data types is worth reading.
#Rmarkdown cheat sheet how to
The first panel goes through the basic steps of building a plot in ggplot2, and the rest of the first page goes through how to graph different types of continuous and discrete data.
This is a ggplot2-cheatsheet I downloaded from the RStudio help site a year or two ago. I used some of their accompanying example code to make some multiseries bar graphs for my thesis. Below is a simple comparison of three different types of bar graphs from the R Graph Gallery. Check out the R Graph Gallery to help get started– it has a lot of great ggplot content (and some truly inspiring data visualization examples). The learning curve is a little steep, but once you learn how to make simple charts it’s easy to expand into complex, detailed ones. Ggplot2 is a package meant for making beautiful graphics.
But, if I’m going to share the graph with anyone else I prefer to use ggplot2. Lately I’ve been using R more, simply because I haven’t updated my Matlab license… have I mentioned I love free software? For a quick graph to get a handle on the distribution of my data, I’ll use the base R graphing features.
#Rmarkdown cheat sheet software
This post is meant for current R users of all skill levels, but if you haven’t used the software before this won’t give you the skills you need to get started. It can be used to process large data sets, run all sorts of statistics, make beautiful graphics, and even map data. R is an incredibly powerful, free statistics software. This month I’m making lots of graphs in R and wanted to share some of the resources I use to both inspire the types of graphs I use and then actually make them. I edited the post for clarity and added a few notes on accessing some learning resources in R Studio itself, but you can still find the original here. Note: the below was originally written and published in November 2018.