y <- (x-3)^3 + 3*x - .25*(x^2 * (x-3)) + rnorm(n=10000, mean=0, sd=3) dat <- data.frame(x = x, y = y) One of our most fundamental goals as data scientists is to ...
Three tabs provide different views of the risk analysis results: the **Loss Exceedance Plot**, **Conditional Loss Plot**, and **Summary Statistics** tabs (Figure \@ref(fig:figure-136)). The first two ...