I also toned down the color of the text a bit to allow the line to pop the most visually. To alter the size just throw a size argument in geom_text.
ADD TEXT ANNOTATION TO GGPLOT CODE
For more on plotting math code see this ggplot wiki and this SO question. To annotate with math code use the parse = T argument in geom_text. The key here is to figure out what text labels you want to move and alter those coordinates appropriately.Īdding equation (Greek letters/math) and alter size/color In this case label A is that pesky label. Generally I can usually find one spot that most every text plot will work except that one dog gone facet that just won’t match up with the other coordinates. Note that the, group=NULL is essential to let ggplot2 know you’re dealing with a new data set and the mapping from before can be forgotten (or at least this is how I understand it). Your data should look something like this: x y gear am labs I chose letters so you can track what piece of the data frame is plotted in which facet. I renamed these columns to be exactly the same as the variable names (gear & am) I used in the original data frame (mtcars in this case). There’s many ways to achieve this but I like a combination of levels and id. The second information piece is the faceted variable labels (in our case gear ~ am). Generally I find that one set of coordinates will work in most of the facet boxes and I just use rep to make these coordinates (I suppose the recycling rule could be used if you added it to an already existing data frame). The first information piece is the coordinates (two columns x and y) to plot the text in each facet. The key here is a new data frame with three pieces of information (ggplot2 seems to like information given in a data frame). I reclassed a few variables to make factors. Section 2: A Bit of Explanation The following portion of the tutorial provides a bit more of a step by step procedure for plotting text to faceted plots as well as a visual to go with the code.įirst Let’s make a faceted line plot with the mtcars data set.
P + geom_text(aes(x, y, label=paste("beta =", labs), group=NULL), size = 4, P + geom_text(aes(x, y, label=labs, group=NULL), data=dat) P + geom_text(aes(x, y, label=labs, group=NULL),data=dat)ĭat <- c(30, 2) #to change specific locations Vars <- ame(id(levels(mtcars$gear), levels(mtcars$am)))ĭat <- ame(x = rep(15, len), y = rep(5, len), vars, labs=LETTERS) geomtext() and geomlabel() add labels for each row in the data, even if coordinates x, y are set to single values in the call to geomlabel() or geomtext().
Len <- length(levels(mtcars$gear)) * length(levels(mtcars$am)) P <- ggplot(mtcars, aes(mpg, wt, group = cyl)) + Section 1: The Complete Code and Final Outcome mtcars <- lapply(mtcars, as.factor) Hopefully, whatever learner you are you’ll be plotting text on faceted graphics in no time. I’ve broken the following tutorial on plotting text on faceted ggplot2 plots into 2 sections: The “show me the code and what it does and let me play” type and the “please give me step by step directions” type. In my experience with R learners there are two basic types.
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