Goal is to create a plot similar to a ROC plot, where at one side, everything is in a single category, and on the other end, everything is in its own category.
# S3 method for sensitivity
plot(sutc.vals, traitspaces, n, com.names = "none", in.pdf = "none")A list containing scaled unique trait combinations (see above)
A vector containing the traitspace for each combination value
The sample size of the trait x record matrix
The names of the communities being evaluated (for labeling purposes)
A pdf file to be generated, containing the two plots. "none" skips generating a pdf, and "no.plot" disables the function