In this case, TRUE indicates a value that is not NA in R:!is.na(data) # x_num x_fac x_cha # [1,] TRUE TRUE TRUE # [2,] TRUE TRUE FALSE # [3,] TRUE TRUE TRUE # [4,] FALSE FALSE TRUE # [5,] FALSE FALSE TRUE # [6,]
beta, and any other benchmark-dependent risk metrics not being populated in zipline's output. The tricky thing here is to do this in a way that doesn't result in performance degradataion when running with a benchmark. I think we either should do this or make the benchmark asset require...