Adakah yang tahu bug/trik apa pun saat menggunakan scale_colour_manual untuk mengatur warna ke pengaturan yang telah ditentukan sebelumnya berdasarkan kode warna HEX yang terdapat dalam bingkai data Anda?
Saya telah mencoba menggunakan kode berikut untuk menarik kode warna yang telah ditentukan sebelumnya dari bingkai data saya.
p <- ggplot(df, aes(x, y, colour=company))
p <- p + geom_point()
p <- p + scale_colour_manual(breaks=df$company, values = df$col)
p
Namun, karena alasan tertentu ketika plot dirender, warna yang ada di data (yaitu nilai=df$col) tidak diplot.
Bantuan atau bimbingan apa pun akan sangat dihargai. Di bawah ini adalah struktur/data ggplot saya:
structure(list(data = structure(list(x = c(119, 34, 34, 46, 86,
70, 61, 71, 84, 30, 84, 85, 3, 16, 5, 167, 72, 85, 5, 44, 85,
63, 15, 86, 148, 83, 105, 11, 11, 98, 169, 14, 11, 28, 98, 52,
52, 52, 90, 11, 176, 94, 94, 52, 9, 176, 148, 9, 105, 121, 98,
2, 28, 9, 148, 43, 148, 170, 146, 40, 61, 40, 98, 9, 5, 3, 45,
46, 6, 128, 123, 39, 45, 2, 19), y = c(1195.26050420168, 4005.55882352941,
4102.94117647059, 3670.23913043478, 7705.47674418605, 7373.34285714286,
4745.40983606557, 5158.43661971831, 7686.20238095238, 7301.43333333333,
7309.02380952381, 7336.03529411765, 3475.33333333333, 5467.4375,
5117, 3861.70658682635, 8940.34722222222, 7317.41176470588, 4182.8,
6301.90909090909, 7272.83529411765, 4670.47619047619, 6489.53333333333,
7452.24418604651, 7762.66891891892, 7768.5421686747, 5560.00504761905,
9360.71454545455, 10984.6854545455, 6677.94989795918, 5029.19917159763,
17012.2242857143, 8613.21818181818, 5632.53571428571, 7572.70642857143,
12890, 8876.30557692308, 12993.5084615385, 364.15, 10914, 13005.2405113636,
11607.0582978723, 2946.36404255319, 14684.7426923077, 1783.90444444444,
11400.6083522727, 4940.83817567568, 1609.11111111111, 7636.22476190476,
318.785123966942, 8798.37673469388, 459.3, 8735.70928571429,
1616.36222222222, 6279.4397972973, 1564.2711627907, 5410.90743243243,
2569.18029411765, 6825.9702739726, 22469.3135, 6288.34426229508,
22726.2695, 11580.1029591837, 1733.73333333333, 2528.8, 1161.66666666667,
4126.06666666667, 4024.13043478261, 3336.5, 2928.9375, 2675.44715447154,
4249.79487179487, 7005.95555555556, 1601, 3982.26315789474),
company = c("chief", "chief", "chief", "chief", "CHK", "CHK",
"CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK",
"CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK",
"CHK", "CHK", "COG", "COG", "COG", "COG", "COG", "COG", "COG",
"COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG",
"COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG",
"COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG",
"COG", "COG", "COG", "COG", "CRZO", "CRZO", "CRZO", "CRZO",
"CRZO", "Other", "Other", "WPX", "WPX", "WPX", "WPX"), col = c("#000000",
"#000000", "#000000", "#000000", "red", "red", "red", "red",
"red", "red", "red", "red", "red", "red", "red", "red", "red",
"red", "red", "red", "red", "red", "red", "red", "red", "red",
"blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue",
"blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue",
"blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue",
"blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue",
"blue", "blue", "blue", "blue", "blue", "blue", "darkgreen",
"darkgreen", "darkgreen", "darkgreen", "darkgreen", "#000000",
"#000000", "orange", "orange", "orange", "orange")), .Names = c("x",
"y", "company", "col"), row.names = c(NA, -75L), class = "data.frame"),
layers = list(<environment>), scales = <S4 object of class structure("Scales", package = "ggplot2")>,
mapping = structure(list(x = quote(x), y = quote(y), colour = quote(company)), .Names = c("x",
"y", "colour"), class = "uneval"), options = structure(list(
labels = structure(list(x = "x", y = "y", colour = "company"), .Names = c("x",
"y", "colour"))), .Names = "labels"), coordinates = structure(list(
limits = structure(list(x = NULL, y = NULL), .Names = c("x",
"y")), wise = FALSE), .Names = c("limits", "wise"), class = c("cartesian",
"coord")), facet = structure(list(shrink = TRUE), .Names = "shrink", class = c("null",
"facet")), plot_env = <environment>), .Names = c("data",
"layers", "scales", "mapping", "options", "coordinates", "facet",
"plot_env"), class = "ggplot")
scale_colour_identity()
danaes(colour=col)
- person baptiste   schedule 23.03.2012scale_colour_manual
, bukan vektor dari seluruh kerangka data Anda (begitulah cara kerja grafik dasar, bukan ggplot). - person joran   schedule 23.03.2012