我正在尝试根据用于在 ggplot2 中“填充”我的 geom_bar 的因素的更广泛分类来对我的图例进行颜色编码。我的情节看起来像这样:我使用这个 R 代码得到的:
ggplot(df, aes(year, TOTALshark, fill=fishery)) + geom_bar(width=.5,stat="identity", position="dodge")+ facet_wrap(~div)
这是我的数据集的 dput 样本:
> dput(smpl)
df <- structure(list(X1 = structure(c(6L, 11L, 22L, 27L, 10L, 10L,
6L, 11L, 6L, 10L, 8L, 6L, 6L, 4L, 22L, 18L, 10L, 10L, 11L, 6L
), .Label = c("AMERICAN PLAICE", "BIGEYE TUNA", "BIVALVE", "BLUEFIN TUNA",
"CAPELIN", "COD(ATL)", "CRAB(SNOW,QUEEN)", "HADDOCK", "HAGFISH(ATL)",
"HALIBUT(ATL)", "HALIBUT(GREENLAND)", "HERRING(ATL)", "JONAH CRAB (CANC.BOR.)",
"LOBSTER", "LONGHORN SCULPIN", "LUMPFISH", "MACKEREL(ATL)", "MONKFISH",
"PAND.BOR.", "PAND.MON.", "POLLOCK", "REDFISH", "SCALLOP", "SEA URCHINS",
"SEACU", "SILVER HAKE", "SWORDFISH", "WHELK", "WHITE HAKE", "WINTER FLOUNDER",
"WITCH FLOUNDER", "YELLOWFIN TUNA", "YELLOWTAIL FLOUNDER"), class = "factor"),
X2 = structure(c(2L, 2L, 8L, 5L, 5L, 5L, 5L, 8L, 5L, 5L,
5L, 2L, 5L, 5L, 8L, 2L, 5L, 5L, 2L, 2L), .Label = c("Dredge",
"Gillnet", "Hook", "Jigger", "Line", "Seine", "Trap", "Trawlb",
"Trawlm"), class = "factor"), fishery = structure(c(12L,
25L, 43L, 50L, 24L, 24L, 15L, 27L, 15L, 24L, 21L, 12L, 15L,
9L, 43L, 36L, 24L, 24L, 25L, 12L), .Label = c("AMERICAN PLAICE-Gillnet",
"AMERICAN PLAICE-Line", "AMERICAN PLAICE-Trawlb", "BIGEYE TUNA-Jigger",
"BIGEYE TUNA-Line", "BIVALVE-Dredge", "BLUEFIN TUNA-Hook",
"BLUEFIN TUNA-Jigger", "BLUEFIN TUNA-Line", "CAPELIN-Seine",
"CAPELIN-Trap", "COD(ATL)-Gillnet", "COD(ATL)-Hook", "COD(ATL)-Jigger",
"COD(ATL)-Line", "COD(ATL)-Trap", "COD(ATL)-Trawlb", "CRAB(SNOW,QUEEN)-Trap",
"CUSK-Line", "HADDOCK-Gillnet", "HADDOCK-Line", "HADDOCK-Trawlb",
"HAGFISH(ATL)-Trap", "HALIBUT(ATL)-Line", "HALIBUT(GREENLAND)-Gillnet",
"HALIBUT(GREENLAND)-Line", "HALIBUT(GREENLAND)-Trawlb", "HERRING(ATL)-Seine",
"HERRING(ATL)-Trawlm", "JONAH CRAB (CANC.BOR.)-Trap", "LOBSTER-Trap",
"LONGHORN SCULPIN-Trawlb", "LUMPFISH-Gillnet", "MACKEREL(ATL)-Seine",
"MACKEREL(ATL)-Trawlm", "MONKFISH-Gillnet", "MONKFISH-Trawlb",
"PAND.BOR.-Trawlb", "PAND.MON.-Trawlb", "POLLOCK-Gillnet",
"POLLOCK-Trawlb", "REDFISH-Gillnet", "REDFISH-Trawlb", "REDFISH-Trawlm",
"SCALLOP-Dredge", "SEA URCHINS-Dredge", "SEACU-Dredge", "SILVER HAKE-Trawlb",
"SWORDFISH-Jigger", "SWORDFISH-Line", "SWORDFISH-unk", "WHELK-Trap",
"WHITE HAKE-Gillnet", "WHITE HAKE-Line", "WINTER FLOUNDER-Gillnet",
"WINTER FLOUNDER-Trawlb", "WITCH FLOUNDER-Trawlb", "YELLOWFIN TUNA-Line",
"YELLOWTAIL FLOUNDER-Trawlb"), class = "factor"), year = c(2008L,
2008L, 2009L, 2009L, 2008L, 2009L, 2009L, 2008L, 2006L, 2007L,
2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2009L, 2009L, 2009L,
2009L), div = structure(c(6L, 19L, 2L, 4L, 5L, 10L, 3L, 19L,
9L, 10L, 3L, 9L, 6L, 4L, 3L, 9L, 6L, 11L, 7L, 9L), .Label = c("5Z",
"5Y", "4X", "4W", "4V", "4T", "4S", "4R", "3P", "3O", "3N",
"3M", "3L", "3K", "2J", "2H", "2G", "1F", "0B", "1B", "0A"
), class = "factor"), TOTALshark = c(3369.72, 12243.2, 6080.06,
316646.05, 18786.8, 6565.91, 1339771.2, 45841.03, 41329.64,
6411.86, 204980.36, 67608.78, 2617.05, 61547.64, 447349.44,
13226.4, 1362.55, 6012.23, 13152.51, 1067.92), cat = structure(c(1L,
1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L,
1L, 1L, 1L, 1L), .Label = c("groundfish", "largepelagic",
"bivalve", "smallpelagic", "crabs/lobsters", "shrimps", "others"
), class = "factor")), .Names = c("X1", "X2", "fishery",
"year", "div", "TOTALshark", "cat"), class = "data.frame", row.names = c(70L,
278L, 500L, 554L, 242L, 245L, 131L, 315L, 106L, 224L, 194L, 60L,
115L, 37L, 489L, 385L, 249L, 244L, 284L, 75L))
我希望有相同的传说,但根据渔业属于哪个类别的“猫”变量(即远洋、底层鱼)有一些颜色。