Men
Men All
men <- teamstaffel::get_results("M",
year = 2023,
event = "ALL")
DT::datatable(men,
rownames = FALSE)
Men BWB Only
is_bwb <- grepl(men$team, pattern = "Berliner\\s?Wasserbetriebe")
men_bwb <- men[is_bwb, ]
men_bwb$place_bwb <- seq_len(nrow(men_bwb))
men_bwb <- dplyr::select(men_bwb, "place_bwb", dplyr::everything())
is_kwb <- stringr::str_extract(men_bwb$team, pattern = "[1-9][1-9]?[0-9]?") %in% 115:116
men_bwb[["place_kwb"]][is_kwb] <- seq_len(sum(is_kwb))
men_bwb <- dplyr::select(men_bwb, "place_kwb", dplyr::everything())
DT::datatable(men_bwb,
options = list(pageLength = 100),
rownames = FALSE)
Women
women <- teamstaffel::get_results("W", year = 2023, event = "ALL")
DT::datatable(women)