Open mle2718 opened 2 years ago
This is kind of duplicative with the IFQ one.
Percent of observations (Access Area and Day at Sea fleet).
`%` <- function(x) x zone_out <- scallop0322MainDataTable %>% count(ZoneID) %>% mutate(obs = n/sum(n) * 100) %>% filter(n >= 10) %>% zone_summary(project = "scallop0322", spat = scallop0322TenMNSQRSpatTable, zone.dat = "ZoneID", zone.spat = "MN10SQID", output = "tab_plot", count = FALSE, var = "obs", fun = "%", na.rm = TRUE) zone_out$plot zone_out$table %>% pretty_lab(ignore = "ZoneID") %>% pretty_tab_sb(width = "40%")
This is kind of duplicative with the IFQ one.
Percent of observations (Access Area and Day at Sea fleet).