I have a dataset that includes categorical grades (not assessed, unmet, limitedly met, partially met, fully met) for various measures that are nested within 2 additional variables (chapter->goal->measurable element).

My two primary issues are:

1. I cannot get the chapter, goal, and measurable elements to stack on the y axis, only the measurable elements. This is an issue, as some measurable elements share the same number between different goals and chapters. If I can fix this, it may make my second question obsolete.

2. There are so many measurable elements that it appears to be too many to fit in the image. Is there a way to get it to break up the plot between multiple images or pages?

This is an example of the data (has been renamed and edited for privacy)

I am attempting to create a “heat map” of sorts [like the image below.]

(https://i.sstatic.net/kZxnjOb8.jpg)

[This is the result I am getting]
(https://i.sstatic.net/pzXpnnVf.png)

This is the code I am using

u2 <- data
mycol <- c("white","grey","red","orange","yellow","green")
heatmap(as.matrix(u2[,6:10]), # because heatmap will only work on a numeric matrix
        col = mycol,                # the colors above
        margins=c(10,10),     # to give enough room for the column labels at the bottom
        scale="none",            # do not scale each column to the same center
        labRow=u2$`Measurable Element`,  # the source of the row labels
        Colv=NA)                    # do not reorder the columns