Here is a solution that avoids editing your data: Say your plot is facetted by the group part of your dataframe, which has levels control, test1, test2, then create a list named by those values: hospital_names <- list( ‘Hospital#1’=”Some Hospital”, ‘Hospital#2’=”Another Hospital”, ‘Hospital#3’=”Hospital Number 3″, ‘Hospital#4’=”The Other Hospital” ) Then create a ‘labeller’ function, and … Read more
Typically you’d do something like this: ann_text <- data.frame(mpg = 15,wt = 5,lab = “Text”, cyl = factor(8,levels = c(“4″,”6″,”8”))) p + geom_text(data = ann_text,label = “Text”) It should work without specifying the factor variable completely, but will probably throw some warnings:
I’ve copied the data from your post above so you can skip the variable assignment library(“tidyverse”) df <- read.table(file = “clipboard”, header = T) %>% as_tibble() You need to modify your data structure slightly before you pass it to ggplot. Get each of your test names into a single variable with tidyr::gather. Then pipe to … Read more