将颜色分配给堆积面积图ggplot中的类别
assign colors to categories in stacked area graph ggplot
我必须在 R 中使用一个通用的类别列表来绘制多个堆积面积图，但并非所有类别都出现在所有图表中。所以我创建了一个向量，为每个类别分配一种颜色，并在 scale_fill_manual 中使用它。它似乎工作正常，但第一类仍然空白。谁知道怎么解决？
我的数据示例（排序）和我使用的代码：
df <- structure(list(t = c(4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12,
4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4,
8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8,
12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12
), Orden = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 5L, 5L, 5L, 6L,
6L, 6L, 10L, 10L, 10L, 11L, 11L, 11L, 12L, 12L, 12L, 13L, 13L,
13L, 14L, 14L, 14L, 15L, 15L, 15L, 7L, 7L, 7L, 8L, 8L, 8L, 16L,
16L, 16L, 17L, 17L, 17L, 18L, 18L, 18L, 19L, 19L, 19L, 21L, 21L,
21L, 22L, 22L, 22L, 23L, 23L, 23L, 24L, 24L, 24L, 25L, 25L, 25L,
27L, 27L, 27L, 28L, 28L, 28L), .Label = c("Chaetocerotanae incertae sedis",
"Corethrales", "Coscinodiscales", "Fragilariales", "Leptocylindrales",
"Licmophorales", "Melosirales", "Naviculales", "Rhaphoneidales",
"Rhizosoleniales", "Surirellales", "Thalassionematales", "Thalassiosirales",
"Triceratiales", "Otras diatomeas centrales", "Otras células o cadenas lineales",
"Cadenas de células pequeñas", "Otras diatomeas pennadas", "Otras diatomeas",
"Actiniscales", "Dinophysiales", "Gonyaulacales", "Hemiaulales",
"Noctilucales", "Peridiniales", "Prorocentrales", "Pyrocystales",
"Otros dinoflagelados", "Appendicularia", "Choreotrichida", "Ciliophora",
"Cirripedia", "Coccolithophores", "Copepods", "Cyanobacteria",
"Dictyochales", "Fish egg", "Others", "Radiozoa", "Tintinnids",
"Foraminifera"), class = "factor"), percentage = c(0.001, 0.002,
0.005, 0, 0, 0, 0, 0.003, 0.001, 0.003, 0, 0, 0.033, 0.373, 0.169,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.004, 0.017, 0.015, 0, 0,
0, 0, 0, 0.002, 0.239, 0.245, 0.282, 0.681, 0.243, 0.382, 0.018,
0, 0.039, 0, 0.001, 0, 0, 0.001, 0, 0.003, 0.044, 0.007, 0, 0,
0, 0, 0.001, 0, 0.003, 0.019, 0.002, 0, 0, 0, 0.016, 0.051, 0.096
)), row.names = c(NA, -69L), class = c("tbl_df", "tbl", "data.frame"
))
orders_colours <- c("Chaetocerotanae incertae sedis" = "#595959", "Corethrales" = "#A6A6A6", "Coscinodiscales" = "#D9D9D9", "Fragilariales" = "#C5B8D0", "Leptocylindrales" = "#A18BB3", "Licmophorales" = "#775C8E", "Melosirales" = "#533569", "Naviculales" = "#251642", "Rhaphoneidales" = "#0A1E3E", "Rhizosoleniales" = "#123A74", "Surirellales" = "#1D81A2", "Thalassionematales" = "#004765", "Thalassiosirales" = "#53AAC9", "Triceratiales" = "#47C1B2", "Otras diatomeas centrales" = "#339A9B", "Otras células o cadenas lineales" = "#1C5558", "Cadenas de células pequeñas" = "#257085", "Otras diatomeas pennadas" = "#005D71", "Otras diatomeas" = "#163E4A", "Actiniscales" = "#FFBB7F", "Dinophysiales" = "#FFDC6C", "Gonyaulacales" = "#FFFBB1", "Hemiaulales" = "#FFE59C", "Noctilucales" = "#FFA126", "Peridiniales" = "#E65340", "Prorocentrales" = "#CC3E2F", "Pyrocystales" = "#731813", "Otros dinoflagelados" = "#390B09")
ggplot(df, aes(fill=Orden, y=percentage, x=t)) +
geom_area() +
scale_fill_manual( values = orders_colours) +
theme_light (base_size = 12, base_family = "Times")+
theme(legend.position="bottom") +
xlab("") +
ylab("")
而我得到的就是这种图表。在这种情况下，“Chaetocerotanae incertae sedis”的百分比太小而无法在图中显示出来，但是，正如您在图例中看到的那样，它没有颜色，尽管它应该是深灰色...
在此先感谢您的帮助！
我认为在数据框中匹配颜色然后通过 scale_identity 映射会更安全。我觉得这可以让您更好地控制映射 - 并且您还可以更好地调试不匹配。这也很容易让不同的组出现或不出现。
library(ggplot2)
## as per your question
# df <- ...
# orders_colours <- ...
## change from here
# for the label of your legend
label_colours <- setNames(names(orders_colours), orders_colours)
# match the colors with the respective "Orden"
df$color <- orders_colours[df$Orden]
# now change fill to color and use scale_identity
ggplot(df, aes(fill=color, y=percentage, x=t)) +
geom_area() +
## in scale_identity you need to add the legend via guide_legend,
## and set the limits for a correct legend order
scale_fill_identity(guide = guide_legend(), limits = orders_colours,
labels = label_colours ) +
theme_light (base_size = 12, base_family = "Times")+
theme(legend.position="bottom",
legend.key.size = unit(.1, "in")) +
## don't do this "" thing
labs(x = NULL, y = NULL)
我必须在 R 中使用一个通用的类别列表来绘制多个堆积面积图，但并非所有类别都出现在所有图表中。所以我创建了一个向量，为每个类别分配一种颜色，并在 scale_fill_manual 中使用它。它似乎工作正常，但第一类仍然空白。谁知道怎么解决？
我的数据示例（排序）和我使用的代码：
df <- structure(list(t = c(4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12,
4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4,
8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8,
12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12, 4, 8, 12
), Orden = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 5L, 5L, 5L, 6L,
6L, 6L, 10L, 10L, 10L, 11L, 11L, 11L, 12L, 12L, 12L, 13L, 13L,
13L, 14L, 14L, 14L, 15L, 15L, 15L, 7L, 7L, 7L, 8L, 8L, 8L, 16L,
16L, 16L, 17L, 17L, 17L, 18L, 18L, 18L, 19L, 19L, 19L, 21L, 21L,
21L, 22L, 22L, 22L, 23L, 23L, 23L, 24L, 24L, 24L, 25L, 25L, 25L,
27L, 27L, 27L, 28L, 28L, 28L), .Label = c("Chaetocerotanae incertae sedis",
"Corethrales", "Coscinodiscales", "Fragilariales", "Leptocylindrales",
"Licmophorales", "Melosirales", "Naviculales", "Rhaphoneidales",
"Rhizosoleniales", "Surirellales", "Thalassionematales", "Thalassiosirales",
"Triceratiales", "Otras diatomeas centrales", "Otras células o cadenas lineales",
"Cadenas de células pequeñas", "Otras diatomeas pennadas", "Otras diatomeas",
"Actiniscales", "Dinophysiales", "Gonyaulacales", "Hemiaulales",
"Noctilucales", "Peridiniales", "Prorocentrales", "Pyrocystales",
"Otros dinoflagelados", "Appendicularia", "Choreotrichida", "Ciliophora",
"Cirripedia", "Coccolithophores", "Copepods", "Cyanobacteria",
"Dictyochales", "Fish egg", "Others", "Radiozoa", "Tintinnids",
"Foraminifera"), class = "factor"), percentage = c(0.001, 0.002,
0.005, 0, 0, 0, 0, 0.003, 0.001, 0.003, 0, 0, 0.033, 0.373, 0.169,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.004, 0.017, 0.015, 0, 0,
0, 0, 0, 0.002, 0.239, 0.245, 0.282, 0.681, 0.243, 0.382, 0.018,
0, 0.039, 0, 0.001, 0, 0, 0.001, 0, 0.003, 0.044, 0.007, 0, 0,
0, 0, 0.001, 0, 0.003, 0.019, 0.002, 0, 0, 0, 0.016, 0.051, 0.096
)), row.names = c(NA, -69L), class = c("tbl_df", "tbl", "data.frame"
))
orders_colours <- c("Chaetocerotanae incertae sedis" = "#595959", "Corethrales" = "#A6A6A6", "Coscinodiscales" = "#D9D9D9", "Fragilariales" = "#C5B8D0", "Leptocylindrales" = "#A18BB3", "Licmophorales" = "#775C8E", "Melosirales" = "#533569", "Naviculales" = "#251642", "Rhaphoneidales" = "#0A1E3E", "Rhizosoleniales" = "#123A74", "Surirellales" = "#1D81A2", "Thalassionematales" = "#004765", "Thalassiosirales" = "#53AAC9", "Triceratiales" = "#47C1B2", "Otras diatomeas centrales" = "#339A9B", "Otras células o cadenas lineales" = "#1C5558", "Cadenas de células pequeñas" = "#257085", "Otras diatomeas pennadas" = "#005D71", "Otras diatomeas" = "#163E4A", "Actiniscales" = "#FFBB7F", "Dinophysiales" = "#FFDC6C", "Gonyaulacales" = "#FFFBB1", "Hemiaulales" = "#FFE59C", "Noctilucales" = "#FFA126", "Peridiniales" = "#E65340", "Prorocentrales" = "#CC3E2F", "Pyrocystales" = "#731813", "Otros dinoflagelados" = "#390B09")
ggplot(df, aes(fill=Orden, y=percentage, x=t)) +
geom_area() +
scale_fill_manual( values = orders_colours) +
theme_light (base_size = 12, base_family = "Times")+
theme(legend.position="bottom") +
xlab("") +
ylab("")
而我得到的就是这种图表。在这种情况下，“Chaetocerotanae incertae sedis”的百分比太小而无法在图中显示出来，但是，正如您在图例中看到的那样，它没有颜色，尽管它应该是深灰色...
在此先感谢您的帮助！
我认为在数据框中匹配颜色然后通过 scale_identity 映射会更安全。我觉得这可以让您更好地控制映射 - 并且您还可以更好地调试不匹配。这也很容易让不同的组出现或不出现。
library(ggplot2)
## as per your question
# df <- ...
# orders_colours <- ...
## change from here
# for the label of your legend
label_colours <- setNames(names(orders_colours), orders_colours)
# match the colors with the respective "Orden"
df$color <- orders_colours[df$Orden]
# now change fill to color and use scale_identity
ggplot(df, aes(fill=color, y=percentage, x=t)) +
geom_area() +
## in scale_identity you need to add the legend via guide_legend,
## and set the limits for a correct legend order
scale_fill_identity(guide = guide_legend(), limits = orders_colours,
labels = label_colours ) +
theme_light (base_size = 12, base_family = "Times")+
theme(legend.position="bottom",
legend.key.size = unit(.1, "in")) +
## don't do this "" thing
labs(x = NULL, y = NULL)